Monthly Traffic Safety Analysis

22 CRASHES IN
SANDWICH, MA
DECEMBER 2023

All metrics benchmarked againstDecember 2022

Total crashes in Sandwich decreased significantly from 38 in December 2022 to 22 in December 2023, marking a 42.1% reduction year-over-year. This notable decrease was accompanied by a substantial drop in total injuries, falling from 10 to 4 over the same period. The most significant shift was the overall reduction in crash frequency.

22

-42.1%was 38

Total Crash Events

0

Persons Killed

4

-60.0%was 10

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.

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

The overall trend for December in Sandwich indicates a significant decrease in crash activity year-over-year. Total crashes fell by 16 incidents, from 38 in December 2022 to 22 in December 2023. This represents a 42.1% reduction in crashes and a 60% reduction in total injuries, which decreased from 10 to 4.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 10-60.0%

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 distribution of crashes across the week showed some shifts, with December 2023 having peak crash days on Wednesday and Friday (5 crashes each), compared to a single peak on Wednesday (8 crashes) in December 2022. The peak crash hour in December 2023 was 5 PM with 5 crashes, which was also a peak hour in December 2022 (5 crashes), though 4 PM had slightly more crashes (6) in the prior year. This suggests a slight evening out of crash occurrences across the week and within the late afternoon hours.

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 reported in either December 2022 or December 2023. Total injuries decreased from 10 in December 2022 to 4 in December 2023. In December 2022, there was 1 serious injury, 5 minor injuries, and 1 possible injury, while December 2023 saw 3 minor injuries and 1 possible injury, indicating a reduction in the most severe injury outcomes.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes13.6%
-40.0%prior 5
Possible Injury1possible injury crashes4.5%
0.0%prior 1
No Injury18no injury crashes81.8%
-41.9%prior 31

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

The number of crashes attributed to "No improper driving" decreased by 6, from 10 in December 2022 to 4 in December 2023. Similarly, "Failed to yield right of way" crashes decreased from 5 to 3, and "Driving too fast for conditions" crashes dropped from 3 to 1. Conversely, crashes involving "Inattention" saw a slight increase from 2 in December 2022 to 3 in December 2023.

Officer-Reported Primary Contributing Cause

No improper driving4 (18.2%)-60.0%prior 10
Failed to yield right of way3 (13.6%)-40.0%prior 5
Inattention3 (13.6%)
Failure to keep in proper lane or running off road2 (9.1%)
Fatigued/asleep2 (9.1%)
Visibility obstructed2 (9.1%)
Followed too closely1 (4.5%)
Driving too fast for conditions1 (4.5%)
Exceeded authorized speed limit1 (4.5%)
Distracted1 (4.5%)

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 decreased from 27 in December 2022 to 13 in December 2023, while crashes on dry road surfaces decreased from 28 to 17. Crashes on icy road surfaces also saw a notable reduction, falling from 4 incidents in December 2022 to 1 in December 2023. Crashes during daylight hours decreased from 20 to 11, and those in dark, unlighted conditions decreased from 11 to 8.

Weather

Clear13 (59.1%)
-51.9%prior 27
Cloudy4 (18.2%)
Cloudy/Rain1 (4.5%)
Fog, smog, smoke1 (4.5%)
Rain1 (4.5%)
Cloudy/Fog, smog, smoke1 (4.5%)
Clear/Unknown1 (4.5%)

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

Lighting

Daylight11 (50.0%)
-45.0%prior 20
Dark - roadway not lighted8 (36.4%)
-27.3%prior 11
Dark - lighted roadway2 (9.1%)
-60.0%prior 5
Dusk1 (4.5%)

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

Road Surface

Dry17 (77.3%)
-39.3%prior 28
Wet4 (18.2%)
-20.0%prior 5
Ice1 (4.5%)

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 (36 vehicles)

1
FORD9 (25%)
-25.0%prior 12
2
TOYOTA6 (16.7%)
-45.5%prior 11
3
JEEP5 (13.9%)
4
CHEVROLET2 (5.6%)
5
NISSAN2 (5.6%)
6
KIA2 (5.6%)
7
MERCEDES-BENZ1 (2.8%)
8
RAM1 (2.8%)
9
TESL1 (2.8%)
10
CADI1 (2.8%)

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

Sex Distribution (44 persons with recorded sex)

Male24 (54.5%)
-56.4%prior 55
Female20 (45.5%)
-60.0%prior 50

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 in 30 MPH speed zones remained consistent year-over-year, with 8 incidents in both December 2022 and December 2023. However, crashes in 40 MPH zones significantly decreased from 18 in December 2022 to 4 in December 2023. Crashes in 55 MPH zones also saw a reduction, falling from 5 to 2. No fatal crashes were 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: SANDWICH, MA
  • Total crash records analyzed: 22
  • Total persons involved: 44
  • Total vehicles involved: 36

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). "SANDWICH, 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/sandwich/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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Sandwich, MA Crash Report — December 2023 | ThatCarHitMe.com