Monthly Traffic Safety Analysis

26 CRASHES IN
MASHPEE, MA
DECEMBER 2023

All metrics benchmarked againstDecember 2022

Total crashes in MASHPEE, MA increased by 52.9% year-over-year, from 17 in December 2022 to 26 in December 2023. This period also saw a significant rise in crashes involving operating under the influence (DUI), which more than tripled from 1 incident to 4 incidents.

26

52.9%was 17

Total Crash Events

0

Persons Killed

9

80.0%was 5

Persons Injured

0

Fatal Crash Events

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash incidents in MASHPEE, MA showed a substantial upward trend year-over-year, rising from 17 crashes in December 2022 to 26 crashes in December 2023. This represents a 52.9% increase in total crashes. The number of injured persons also increased from 5 to 9.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

9

Motorists Injured

Prior: 580.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Friday in December 2022, which had 5 crashes, to Saturday in December 2023, which recorded 7 crashes. While December 2022's peak hour was 3 PM with 4 crashes, December 2023 saw peak activity at both 5 PM and 10 AM, each with 4 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities recorded in either December 2022 or December 2023. Total injuries increased from 5 in the prior period to 9 in the current period. The proportion of serious injuries (code A) increased from 0% to 3.8% (1 crash), while minor injuries (code B) slightly increased from 23.5% (4 crashes) to 26.9% (7 crashes) of total crashes.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.8%
Minor Injury7minor injury crashes26.9%
75.0%prior 4
No Injury18no injury crashes69.2%
50.0%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Failed to yield right of way' quadrupled from 2 in December 2022 to 8 in December 2023. 'Inattention' crashes increased from 4 to 5, and 'Followed too closely' crashes rose from 3 to 4. Notably, 'Distracted' was a top contributing factor with 3 crashes in December 2022 but was not listed as a top factor in December 2023.

Officer-Reported Primary Contributing Cause

Failed to yield right of way8 (30.8%)
Inattention5 (19.2%)
Followed too closely4 (15.4%)
No improper driving2 (7.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.7%)
Disregarded traffic signs, signals, road markings2 (7.7%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.8%)
Fatigued/asleep1 (3.8%)
Glare1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 11 in December 2022 to 16 in December 2023. Crashes on 'Dry' road surfaces increased from 12 to 18, and on 'Wet' surfaces from 4 to 7. There was a notable increase in crashes occurring in 'Dark - lighted roadway' conditions, rising from 2 to 9.

Weather

Clear16 (64.0%)
45.5%prior 11
Cloudy5 (20.0%)
Cloudy/Other1 (4.0%)
Cloudy/Rain1 (4.0%)
Rain1 (4.0%)
Snow1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight13 (50.0%)
30.0%prior 10
Dark - lighted roadway9 (34.6%)
Dark - roadway not lighted3 (11.5%)
Dusk1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry18 (72.0%)
50.0%prior 12
Wet7 (28.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (45 vehicles)

1
FORD6 (13.3%)
2
TOYOTA6 (13.3%)
20.0%prior 5
3
BMW4 (8.9%)
4
HONDA4 (8.9%)
5
JEEP4 (8.9%)
6
CHEVROLET3 (6.7%)
7
NISSAN2 (4.4%)
8
KIA1 (2.2%)
9
LINC1 (2.2%)
10
MITS1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (54 persons with recorded sex)

Male35 (64.8%)
66.7%prior 21
Female19 (35.2%)
46.2%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in the 50 mph speed zone significantly increased from 4 in December 2022 to 11 in December 2023. The 30 mph zone also saw an increase from 4 to 6 crashes. There were no fatal crashes recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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: 2023-12-01 through 2023-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-12-01 through 2023-12-31 (31 days)
  • Geographic scope: MASHPEE, MA
  • Total crash records analyzed: 26
  • Total persons involved: 56
  • Total vehicles involved: 45

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). "MASHPEE, MA Crash Intelligence Report: December 2023." Published June 21, 2026. Reporting period: 2023-12-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/mashpee/december-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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Mashpee, MA Crash Report — December 2023 | ThatCarHitMe.com