Monthly Traffic Safety Analysis

27 CRASHES IN
MARSHFIELD, MA
FEBRUARY 2025

All metrics benchmarked againstFebruary 2024

In February 2025, MARSHFIELD experienced 27 total crashes, a slight increase from the 26 crashes recorded in February 2024. Despite the similar number of total crashes, there was a significant increase in the number of injured persons, rising from 2 in February 2024 to 10 in February 2025. Fatalities remained at 0 in both periods.

27

3.8%was 26

Total Crash Events

0

Persons Killed

10

400.0%was 2

Persons Injured

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in MARSHFIELD remained relatively stable year-over-year, with a slight increase of 1 crash (3.85%) from 26 in February 2024 to 27 in February 2025. However, the number of persons injured in these crashes saw a substantial increase, rising from 2 in February 2024 to 10 in February 2025.

1

Hit-and-Run Crashes — February 2025

0.0% vs prior (1)

The number of hit-and-run crashes remained stable at 1 incident in both February 2024 and February 2025. The hit-and-run crash rate was 3.8% in February 2024 and 3.7% in February 2025, indicating a stable trend year-over-year.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

10

Motorists Injured

Prior: 2400.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · 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 between the two periods. In February 2025, the peak day for crashes was Sunday with 8 incidents, while in February 2024, Saturday was the peak day with 8 crashes. The peak hour for crashes also changed, moving from 3 PM with 4 crashes in February 2024 to 10 AM with 5 crashes in February 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either February 2024 or February 2025. However, the total number of injured persons increased substantially from 2 in February 2024 to 10 in February 2025. The proportion of crashes resulting in injury also rose, with 7 crashes (25.9% of total crashes) involving some level of injury in February 2025, compared to 2 crashes (7.7% of total crashes) in February 2024.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.7%
Minor Injury4minor injury crashes14.8%
100.0%prior 2
Possible Injury2possible injury crashes7.4%
No Injury20no injury crashes74.1%
-16.7%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'No improper driving,' decreased from 8 crashes in February 2024 to 7 crashes in February 2025. 'Failed to yield right of way' decreased from 5 crashes in February 2024 to 3 crashes in February 2025, and 'Inattention' decreased from 5 crashes to 1 crash. Conversely, 'Driving too fast for conditions' increased from 2 crashes in February 2024 to 3 crashes in February 2025, and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' was a factor in 3 crashes in February 2025 but was not present in the prior period's top factors.

Officer-Reported Primary Contributing Cause

No improper driving7 (25.9%)-12.5%prior 8
Failed to yield right of way3 (11.1%)-40.0%prior 5
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (11.1%)
Driving too fast for conditions3 (11.1%)
Inattention1 (3.7%)-80.0%prior 5
Exceeded authorized speed limit1 (3.7%)
Failure to keep in proper lane or running off road1 (3.7%)
Disregarded traffic signs, signals, road markings1 (3.7%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions slightly decreased from 15 in February 2024 to 14 in February 2025. Crashes involving snow-related weather conditions (including 'Snow', 'Snow/Sleet', 'Snow/Snow', 'Cloudy/Snow', and 'Sleet/Snow') collectively increased from 3 in February 2024 to 9 in February 2025. Correspondingly, crashes on 'Dry' road surfaces decreased from 21 in February 2024 to 12 in February 2025, while crashes on 'Snow' surfaces increased from 2 to 7, and 'Ice' surfaces appeared as a factor in 4 crashes in February 2025.

Weather

Clear14 (51.9%)
-6.7%prior 15
Snow4 (14.8%)
Cloudy3 (11.1%)
Snow/Sleet, hail (freezing rain or drizzle)2 (7.4%)
Snow/Snow1 (3.7%)
Cloudy/Snow1 (3.7%)
Rain/Sleet, hail (freezing rain or drizzle)1 (3.7%)
Sleet, hail (freezing rain or drizzle)/Snow1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Weather condition at time of crash

Lighting

Daylight18 (66.7%)
28.6%prior 14
Dark - lighted roadway6 (22.2%)
20.0%prior 5
Dark - roadway not lighted1 (3.7%)
-83.3%prior 6
Dark - unknown roadway lighting1 (3.7%)
Dusk1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Lighting condition field

Road Surface

Dry12 (44.4%)
-42.9%prior 21
Snow7 (25.9%)
Ice4 (14.8%)
Wet4 (14.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (43 vehicles)

1
TOYOTA9 (20.9%)
50.0%prior 6
2
FORD4 (9.3%)
3
BMW4 (9.3%)
4
NISSAN4 (9.3%)
5
HONDA3 (7%)
6
BUIC2 (4.7%)
7
SUBARU2 (4.7%)
8
JEEP2 (4.7%)
-80.0%prior 10
9
LINC1 (2.3%)
10
MAZDA1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Vehicle unit records

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

Sex Distribution (44 persons with recorded sex)

Male30 (68.2%)
15.4%prior 26
Female14 (31.8%)
-44.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Person-level records linked to crash events

Speed Limit Zones

There were no fatal crashes reported across any speed limit zones in either period. Crashes in 30 MPH zones increased from 6 in February 2024 to 11 in February 2025. Conversely, crashes in 45 MPH zones decreased from 5 in February 2024 to 3 in February 2025, and crashes in 40 MPH zones decreased from 4 to 2.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · 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: 2025-02-01 through 2025-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-02-01 through 2025-02-28 (28 days)
  • Geographic scope: MARSHFIELD, MA
  • Total crash records analyzed: 27
  • Total persons involved: 46
  • Total vehicles involved: 43

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). "MARSHFIELD, MA Crash Intelligence Report: February 2025." Published June 21, 2026. Reporting period: 2025-02-01 to 2025-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/marshfield/february-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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Marshfield, MA Crash Report — February 2025 | ThatCarHitMe.com