Monthly Traffic Safety Analysis

4 CRASHES IN
OAK BLUFFS, MA
DECEMBER 2025

All metrics benchmarked againstDecember 2024

In December 2025, OAK BLUFFS experienced 4 total crashes, a decrease of 43% compared to the 7 crashes recorded in December 2024. A notable shift is the 100% reduction in both total fatalities and total injuries year-over-year, with 0 fatalities and 0 injuries reported in the current period.

4

-42.9%was 7

Total Crash Events

0

-100.0%was 1

Persons Killed

0

-100.0%was 5

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. 4 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, crash data for December in OAK BLUFFS shows a significant downward trend, with total crashes decreasing from 7 in 2024 to 4 in 2025. This represents a 43% reduction in the number of reported crashes year-over-year.

When Crashes Happen

The temporal distribution of crashes shifted significantly year-over-year. In December 2024, crashes were evenly distributed with one crash occurring on each day of the week, while December 2025 saw Wednesday emerge as the peak day with 3 crashes. The peak hour also changed, with 2024 having peak hours at 2 PM and 11 PM (2 crashes each), whereas 2025's highest single hour was 6 PM with 1 crash.

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)

Top Contributing Factors

Contributing factors show changes in prevalence year-over-year. 'No improper driving' increased from 1 crash in December 2024 to 2 crashes in December 2025, becoming the most frequent factor in the current period. While 'Inattention' remained constant at 1 crash in both periods, factors like 'Driving too fast for conditions' emerged in 2025 with 1 crash, and several factors present in 2024, such as 'Failed to yield right of way' and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner', were not recorded in 2025.

Officer-Reported Primary Contributing Cause

No improper driving2 (50%)
Driving too fast for conditions1 (25%)
Inattention1 (25%)

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 show shifts between the periods. In December 2025, there were 2 crashes in 'Dark - roadway not lighted' conditions, compared to none in December 2024, and 1 crash occurred on a 'Snow' road surface, which was not reported in the prior year. Conversely, crashes occurring in 'Daylight' decreased from 3 in 2024 to 1 in 2025, and crashes on 'Wet' or 'Ice' road surfaces, present in 2024, were absent in 2025.

Weather

Cloudy2 (50.0%)
Clear1 (25.0%)
Sleet, hail (freezing rain or drizzle)/Snow1 (25.0%)

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

Lighting

Dark - roadway not lighted2 (50.0%)
Dark - lighted roadway1 (25.0%)
Daylight1 (25.0%)

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

Road Surface

Dry3 (75.0%)
Snow1 (25.0%)

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

Vehicles & Demographics

Top Vehicle Makes (6 vehicles)

1
CHEVROLET1 (16.7%)
2
JEEP1 (16.7%)
3
SUBARU1 (16.7%)
4
TOYOTA1 (16.7%)
5
VOLKSWAGEN1 (16.7%)
6
VOLVO1 (16.7%)

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

Sex Distribution (6 persons with recorded sex)

Male5 (83.3%)
-16.7%prior 6
Female1 (16.7%)
-88.9%prior 9

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

The distribution of crashes across speed zones changed year-over-year. Crashes occurring in 45 mph zones increased from 1 in December 2024 to 3 in December 2025. Conversely, crashes in 25 mph zones decreased from 2 to 1, and crashes in 20 mph and 40 mph zones, which each had 1 occurrence in 2024, were not reported in 2025. 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: OAK BLUFFS, MA
  • Total crash records analyzed: 4
  • Total persons involved: 6
  • Total vehicles involved: 6

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). "OAK BLUFFS, 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/oak-bluffs/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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Oak Bluffs, MA Crash Report — December 2025 | ThatCarHitMe.com