Monthly Traffic Safety Analysis

96 CRASHES IN
PLYMOUTH, MA
DECEMBER 2025

All metrics benchmarked againstDecember 2024

In December 2025, Plymouth recorded 96 total crashes, a 2.1% increase compared to the 94 crashes in December 2024. Despite this slight rise in overall incidents, total injuries decreased by 48.9%, falling from 45 to 23. No fatalities were reported in either period.

96

2.1%was 94

Total Crash Events

0

Persons Killed

23

-48.9%was 45

Persons Injured

4

-33.3%was 6

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 · 2025-12-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in Plymouth saw a slight increase of 2.1% year-over-year, rising from 94 crashes in December 2024 to 96 crashes in December 2025. Conversely, total injuries experienced a significant decline of 48.9%, decreasing from 45 to 23 during the same period. Fatalities remained stable at zero in both December 2024 and December 2025.

4

Hit-and-Run Crashes — December 2025

-33.3% vs prior (6)

The number of hit-and-run crashes decreased year-over-year, falling from 6 incidents in December 2024 to 4 incidents in December 2025. This represents a 33.3% reduction in the count of hit-and-run incidents. Consequently, the hit-and-run crash rate also declined, from 6.4% to 4.2%.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

2

Pedestrians Injured

Prior: 1100.0%

21

Motorists Injured

Prior: 44-52.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes showed shifts year-over-year. The peak day for crashes moved from Thursday with 17 incidents in December 2024 to Tuesday with 20 incidents in December 2025. Similarly, the peak hour for crashes shifted from 4 PM with 9 incidents in December 2024 to 5 PM and 6 PM, both recording 11 incidents in December 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both December 2024 and December 2025. There was an increase in serious injury crashes, rising from 2 (2.1% of total) in December 2024 to 3 (3.1% of total) in December 2025. Conversely, minor injury crashes decreased from 22 (23.4%) to 12 (12.5%), and possible injury crashes fell from 10 (10.6%) to 6 (6.3%) year-over-year. The proportion of crashes resulting in no injury increased from 63.8% to 76%.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes3.1%
50.0%prior 2
Minor Injury12minor injury crashes12.5%
-45.5%prior 22
Possible Injury6possible injury crashes6.3%
-40.0%prior 10
No Injury73no injury crashes76%
21.7%prior 60

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Inattention' remained the leading factor, increasing from 16 incidents in December 2024 to 20 incidents in December 2025, a 25% rise. 'Swerving or avoiding' saw a substantial 400% increase in count, jumping from 3 incidents to 15, making it the second most common factor. Conversely, 'Followed too closely' decreased by 27.3% from 11 to 8 incidents, and 'No improper driving' decreased by 15.4% from 13 to 11 incidents.

Officer-Reported Primary Contributing Cause

Inattention20 (20.8%)25.0%prior 16
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway15 (15.6%)
No improper driving11 (11.5%)-15.4%prior 13
Failed to yield right of way10 (10.4%)0.0%prior 10
Followed too closely8 (8.3%)-27.3%prior 11
Distracted6 (6.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner6 (6.3%)20.0%prior 5
Visibility obstructed5 (5.2%)
Driving too fast for conditions3 (3.1%)-40.0%prior 5
Failure to keep in proper lane or running off road3 (3.1%)-50.0%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crash conditions showed shifts, particularly regarding adverse weather and road surfaces. Crashes during 'Snow' weather conditions significantly increased from 1 in December 2024 to 12 in December 2025, while 'Rain' conditions saw a decrease from 15 to 6 incidents. Correspondingly, 'Ice' and 'Snow' road surface conditions experienced increases in crash counts, rising from 2 to 13 and 1 to 12 respectively. Crashes occurring in 'Daylight' decreased from 43 to 39, while those in 'Dark - lighted roadway' increased from 21 to 27.

Weather

Clear50 (52.1%)
-15.3%prior 59
Snow12 (12.5%)
Clear/Clear7 (7.3%)
Cloudy7 (7.3%)
Rain6 (6.3%)
-60.0%prior 15
Sleet, hail (freezing rain or drizzle)3 (3.1%)
-40.0%prior 5
Rain/Rain3 (3.1%)
Clear/Other2 (2.1%)
Sleet, hail (freezing rain or drizzle)/Cloudy1 (1.0%)
Sleet, hail (freezing rain or drizzle)/Snow1 (1.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight39 (40.6%)
-9.3%prior 43
Dark - lighted roadway27 (28.1%)
28.6%prior 21
Dark - roadway not lighted22 (22.9%)
0.0%prior 22
Dawn5 (5.2%)
Dusk3 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry48 (50.0%)
-20.0%prior 60
Wet23 (24.0%)
-11.5%prior 26
Ice13 (13.5%)
Snow12 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 4.9%, from 162 to 170 year-over-year. Toyota and Ford remained the top two vehicle makes involved, both seeing slight increases in counts. Notably, Jeep vehicles involved in crashes more than doubled, from 6 to 14. A significant shift in person age distribution was observed, with the 21-25 age group experiencing a 157.1% increase in representation, rising from 7 to 18 persons. Conversely, persons in the 0-15 age group decreased by 42.9%, from 14 to 8.

Top Vehicle Makes (170 vehicles)

1
TOYOTA37 (21.8%)
2.8%prior 36
2
FORD22 (12.9%)
10.0%prior 20
3
JEEP14 (8.2%)
133.3%prior 6
4
HONDA14 (8.2%)
7.7%prior 13
5
NISSAN11 (6.5%)
37.5%prior 8
6
CHEVROLET11 (6.5%)
-26.7%prior 15
7
SUBARU8 (4.7%)
33.3%prior 6
8
HYUNDAI6 (3.5%)
-25.0%prior 8
9
VOLKSWAGEN5 (2.9%)
10
GMC5 (2.9%)
-28.6%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Vehicle unit records

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

Sex Distribution (192 persons with recorded sex)

Male105 (54.7%)
-4.5%prior 110
Female87 (45.3%)
17.6%prior 74

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone significantly increased by 65.5%, rising from 29 incidents in December 2024 to 48 in December 2025. Crashes in the 25 mph zone also saw a substantial increase, from 1 to 9 incidents. Conversely, incidents in the 60 mph speed zone decreased by 41.2%, from 17 to 10, and crashes in the 40 mph zone decreased by 46.2%, from 13 to 7. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · 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: 2025-12-01 through 2025-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-12-01 through 2025-12-31 (31 days)
  • Geographic scope: PLYMOUTH, MA
  • Total crash records analyzed: 96
  • Total persons involved: 205
  • Total vehicles involved: 170

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). "PLYMOUTH, MA Crash Intelligence Report: December 2025." Published June 21, 2026. Reporting period: 2025-12-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/plymouth/december-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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Plymouth, MA Crash Report — December 2025 | ThatCarHitMe.com