ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · DUXBURY, 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/duxbury/2025-annual-report
Yearly Traffic Safety Analysis
263 CRASHES IN
DUXBURY, MA
2025
In 2025, Duxbury recorded 263 total traffic crashes, an increase from the 227 crashes reported in 2024, representing a 15.9% year-over-year rise. While total injuries remained nearly unchanged at 72 compared to 73 the previous year, the number of fatalities decreased from two to one. A significant portion of the overall increase in collisions was driven by a rise in single-vehicle crashes, which grew from 85 to 110.
263
▲ 15.9%was 227
Total Crash Events
1
▼ -50.0%was 2
Persons Killed
72
▼ -1.4%was 73
Persons Injured
12
▲ 33.3%was 9
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crashes in Duxbury showed an upward trend, increasing by 15.9% from 227 in 2024 to 263 in 2025. Despite the rise in total collisions, the number of resulting fatalities fell by 50%, from two to one. The total number of injuries recorded remained stable, with 72 in 2025 compared to 73 in the prior year.
12
Hit-and-Run Crashes — 2025
▲ 33.3% vs prior (9)
Hit-and-run incidents in Duxbury saw an increase in both count and rate year-over-year. The number of hit-and-run crashes rose from 9 in 2024 to 12 in 2025. This corresponds to an increase in the hit-and-run rate, which climbed from 4.0% of all crashes in the prior year to 4.6% in the current year.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Motorists Killed
1
Pedestrians Injured
71
Motorists 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 Duxbury remained broadly consistent year-over-year, with Friday being the most frequent day for collisions in both 2025 (50 crashes) and 2024 (43 crashes). The peak hour for crashes shifted slightly later in the afternoon, from 4 p.m. in 2024 (24 crashes) to 5 p.m. in 2025 (25 crashes). Notably, collisions in the 1 p.m. hour tripled, increasing from 7 to 21, while the previous year's peak 4 p.m. hour saw a decrease to 16 crashes.
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
The severity of crashes in Duxbury lessened in 2025 compared to the previous year. The number of fatal crashes decreased from two to one, lowering the fatal crash rate from 0.88% to 0.38%. While the count of serious injury crashes remained stable at six, the proportion of crashes resulting in minor injuries fell from 15.4% to 11.0%. Correspondingly, the share of non-injury crashes increased from 72.7% of all collisions in 2024 to 79.5% in 2025.
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
The leading contributing factors for crashes remained consistent between the two periods, with 'No improper driving' (82 crashes), 'Inattention' (44 crashes), and 'Followed too closely' (30 crashes) as the top three in 2025. The count of crashes attributed to 'No improper driving' increased by 39% from 59 in the prior year. Crashes involving 'Failed to yield right of way' also saw a notable 25% increase in count, from 20 to 25. Conversely, crashes where 'Distracted' was the primary cited factor decreased from 7 to 2.
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 Duxbury predominantly occurred in clear weather and daylight conditions during both periods. In 2025, collisions on wet road surfaces increased from 24 to 41, raising their share of total crashes from 10.6% to 15.6%. Similarly, crashes in dark, unlighted conditions rose from 40 to 53 incidents. The proportion of crashes happening in daylight decreased from 71.8% in 2024 to 66.2% 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
Toyota remained the most common vehicle make involved in crashes, with its count rising from 62 in 2024 to 82 in 2025. The top three rankings shifted, with Ford moving into second place (50 vehicles) and Jeep into third (33 vehicles), while Honda dropped from second to fourth. Regarding persons involved, individuals aged 65 and older saw a significant increase in involvement, from 68 to 101, raising their share of all persons from 14.5% to 16.9%. The number of persons aged 0-15 involved in crashes also more than doubled, from 19 to 44.
Top Vehicle Makes (444 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
33 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (563 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
A notable shift occurred in the speed zones where crashes were reported, with a significant increase in collisions within 30 mph zones, from 48 in 2024 to 76 in 2025. Crashes in 40 mph zones also rose from 27 to 34. Conversely, the number of crashes in 60 mph zones decreased from 75 to 68. The single fatal crash in 2025 occurred in a 60 mph zone, consistent with one of the two fatal crashes from the prior year which also happened in a 60 mph zone.
Fatal crashes by zone: 60 mph: 1 of 68 (1.471%)
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: DUXBURY, MA
- Total crash records analyzed: 263
- Total persons involved: 597
- Total vehicles involved: 444
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). "DUXBURY, 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/duxbury/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