ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · PLYMOUTH, MA · 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/plymouth/2025-annual-report
Yearly Traffic Safety Analysis
877 CRASHES IN
PLYMOUTH, MA
2025
In 2025, Plymouth recorded 877 total crashes, a decrease from the 963 crashes reported in 2024, representing an 8.9% year-over-year reduction. While overall crashes declined, one of the most significant changes was a 47.8% decrease in the number of hit-and-run incidents, which fell from 69 to 36. The number of fatalities remained stable at five for both periods.
877
▼ -8.9%was 963
Total Crash Events
5
Persons Killed
317
▼ -13.6%was 367
Persons Injured
36
▼ -47.8%was 69
Hit-and-Run Crashes
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 12 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in Plymouth shows a decrease in traffic incidents from 2024 to 2025. Total crashes fell by 8.9%, from 963 to 877, and the number of people injured in these incidents decreased by 13.6% from 367 to 317. The number of fatalities remained unchanged at 5 for both years.
36
Hit-and-Run Crashes — 2025
▼ -47.8% vs prior (69)
There was a significant year-over-year decrease in hit-and-run incidents in Plymouth. The total number of hit-and-run crashes fell by 47.8%, from 69 in 2024 to 36 in 2025. Consequently, the hit-and-run rate, representing the percentage of all crashes that were hit-and-runs, dropped from 7.2% to 4.1%.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
4
Motorists Killed
0
Other Killed
9
Pedestrians Injured
6
Cyclists Injured
295
Motorists Injured
7
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 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 patterns of crashes in Plymouth remained broadly consistent year-over-year, with incidents peaking during the afternoon and on weekends. The peak day for crashes in 2025 was Saturday with 139 incidents, compared to a tie between Friday and Saturday (150 crashes each) in 2024. The peak hour for crashes shifted slightly later in the afternoon, from 2 p.m. (81 crashes) in the prior year to 3 p.m. (74 crashes) in the current year.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the number of fatal crashes remained constant at 5 for both periods, the fatal crash rate per 100 crashes increased from 0.52% to 0.57% due to the overall reduction in total incidents. The count of crashes involving serious injuries increased from 23 to 27, raising its share of all crashes from 2.4% to 3.1%. Crashes involving possible injuries saw a notable decrease, falling from 78 incidents (8.1% of total) to 48 incidents (5.5% of total).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
Inattention remained the top contributing factor in both periods, though its count decreased by 5.8% from 191 to 180 crashes. The ranking of the top three factors was unchanged, with 'Failed to yield right of way' and 'Followed too closely' also seeing their counts decrease. Notably, crashes attributed to 'Distracted' driving increased by 138.5% from 13 to 31 incidents, and crashes involving 'Swerving or avoiding' rose by 80% from 25 to 45 incidents.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in both years predominantly occurred in clear weather and on dry roads, with these conditions accounting for the majority of incidents in both periods. There was a slight shift in lighting conditions, with the proportion of crashes occurring in daylight decreasing from 65.0% to 62.5% year-over-year. Correspondingly, crashes in dark conditions (both lighted and unlighted roadways) increased as a share of the total, from 27.0% in 2024 to 30.0% in 2025.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained Toyota, Ford, and Honda in both years. However, the number of Toyotas involved increased from 230 to 260, while Fords decreased from 229 to 196 and Hondas decreased from 174 to 145. The age distribution of persons involved in crashes showed minimal change across all brackets; for example, the 65+ age group represented 15.4% of individuals in the prior year and 15.8% in the current year.
Top Vehicle Makes (1,529 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
121 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,775 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones remained nearly identical year-over-year, with approximately 67% of incidents in both periods occurring in zones with speed limits below 40 mph. In 2024, three of the five fatal crashes occurred in 60 mph zones. In 2025, the five fatal crashes were more distributed across speed zones, with one incident each in 25, 30, 40, and 60 mph zones.
Fatal crashes by zone: 25 mph: 1 of 59 (1.695%) · 30 mph: 1 of 325 (0.308%) · 40 mph: 1 of 123 (0.813%) · 60 mph: 1 of 101 (0.99%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 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: 2025-01-01 through 2025-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: PLYMOUTH, MA
- Total crash records analyzed: 877
- Total persons involved: 1,905
- Total vehicles involved: 1,529
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: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/plymouth/2025-annual-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-01-01 – 2025-12-31
Generated: June 21, 2026 · All rights reserved