Monthly Traffic Safety Analysis

17 CRASHES IN
MARSHFIELD, MA
MARCH 2023

All metrics benchmarked againstMarch 2022

Total crashes in March 2023 decreased by 45.16% to 17, down from 31 crashes in March 2022. A significant year-over-year shift was the absence of fatal crashes and fatalities in March 2023, compared to one fatal crash and one fatality in March 2022. Total injuries also saw a substantial reduction, from 15 in the prior period to 5 in the current period.

17

-45.2%was 31

Total Crash Events

0

-100.0%was 1

Persons Killed

5

-66.7%was 15

Persons Injured

0

-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 · 2023-03-01 to 2023-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a notable decrease in crash activity, with total crashes falling by 45.16% from 31 to 17 year-over-year. This reduction was accompanied by a decrease in total injuries from 15 to 5, and the absence of any fatalities in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1-100.0%

5

Motorists Injured

Prior: 14-64.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Temporal patterns shifted, with the peak day for crashes moving from Thursday (7 crashes) in March 2022 to Tuesday (5 crashes) in March 2023. The peak hour for crashes also changed, from 2p (5 crashes) in the prior period to 8p (3 crashes) in the current period. Overall, crash counts decreased across most days of the week and hours of the day.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution showed a positive shift, with no fatal crashes or serious injuries recorded in March 2023, compared to one fatal crash and one serious injury in March 2022. Minor injuries decreased from 4 crashes (12.9% share) to 2 crashes (11.8% share), and possible injuries decreased from 4 crashes (12.9% share) to 2 crashes (11.8% share). The proportion of no-injury crashes remained relatively stable, representing 64.7% of crashes in March 2023 and 61.3% in March 2022.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes11.8%
-50.0%prior 4
Possible Injury2possible injury crashes11.8%
-50.0%prior 4
No Injury11no injury crashes64.7%
-42.1%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, "No improper driving," decreased by 50%, from 12 crashes in March 2022 to 6 crashes in March 2023. Crashes attributed to "Inattention" also saw a significant reduction, dropping from 6 crashes to 1 crash, an 83.3% decrease. Conversely, "Failed to yield right of way" increased from 1 crash in the prior period to 2 crashes in the current period, representing a 100% increase in count.

Officer-Reported Primary Contributing Cause

No improper driving6 (35.3%)-50.0%prior 12
Failed to yield right of way2 (11.8%)
Glare1 (5.9%)
Disregarded traffic signs, signals, road markings1 (5.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (5.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (5.9%)
Inattention1 (5.9%)-83.3%prior 6
Failure to keep in proper lane or running off road1 (5.9%)
Fatigued/asleep1 (5.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions decreased from 17 to 10 year-over-year, while those in "Cloudy" conditions decreased from 4 to 3. Crashes on "Dry" road surfaces decreased from 19 to 13, and on "Wet" surfaces from 7 to 4. Despite the overall decrease in crashes, incidents occurring in "Dark - roadway not lighted" conditions increased from 1 crash in March 2022 to 3 crashes in March 2023.

Weather

Clear10 (58.8%)
-41.2%prior 17
Cloudy3 (17.6%)
Cloudy/Rain3 (17.6%)
Rain1 (5.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Weather condition at time of crash

Lighting

Daylight11 (64.7%)
-38.9%prior 18
Dark - lighted roadway3 (17.6%)
-62.5%prior 8
Dark - roadway not lighted3 (17.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Lighting condition field

Road Surface

Dry13 (76.5%)
-31.6%prior 19
Wet4 (23.5%)
-42.9%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (25 vehicles)

1
TOYOTA5 (20%)
0.0%prior 5
2
FORD4 (16%)
-33.3%prior 6
3
CHEVROLET4 (16%)
-20.0%prior 5
4
HONDA2 (8%)
-60.0%prior 5
5
HYUNDAI1 (4%)
6
INFI1 (4%)
7
JEEP1 (4%)
8
MERCEDES-BENZ1 (4%)
9
NISSAN1 (4%)
10
PORS1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Vehicle unit records

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

Sex Distribution (28 persons with recorded sex)

Female15 (53.6%)
-16.7%prior 18
Male13 (46.4%)
-65.8%prior 38

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones decreased from 7 to 2, and in 30 mph zones from 9 to 7, year-over-year. Notably, the prior period recorded one fatal crash in a 30 mph zone, while no fatal crashes occurred in any speed zone in the current period. Crashes in 45 mph zones increased from 1 to 2, while crashes in 40 mph and 60 mph zones, present in the prior period, were not recorded in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-03-01 to 2023-03-31 · 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: 2023-03-01 through 2023-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-03-01 through 2023-03-31 (31 days)
  • Geographic scope: MARSHFIELD, MA
  • Total crash records analyzed: 17
  • Total persons involved: 29
  • Total vehicles involved: 25

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: March 2023." Published June 21, 2026. Reporting period: 2023-03-01 to 2023-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/marshfield/march-2023-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 — March 2023 | ThatCarHitMe.com