Monthly Traffic Safety Analysis

36 CRASHES IN
SANDWICH, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, SANDWICH, MA experienced 36 crashes, a 28.6% increase compared to the 28 crashes recorded in May 2024. The most notable shift was a 70.0% rise in total injuries, from 10 in the prior period to 17 in the current period.

36

28.6%was 28

Total Crash Events

0

Persons Killed

17

70.0%was 10

Persons Injured

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 · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in SANDWICH, MA showed an upward trend year-over-year. Total crashes increased by 8, from 28 in May 2024 to 36 in May 2025, representing a 28.6% rise.

1

Hit-and-Run Crashes — May 2025

2.8% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

17

Motorists Injured

Prior: 1070.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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 with 7 incidents in May 2024 to Thursday with 8 incidents in May 2025. The peak hour for crashes also saw a slight shift, moving from 5p with 4 incidents in May 2024 to 4p, also with 4 incidents, in May 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Neither May 2024 nor May 2025 reported any fatal crashes. The number of serious injury crashes increased from 2 in May 2024 to 3 in May 2025, while minor injury crashes rose from 3 to 5. Overall, the total number of injured persons increased by 70.0%, from 10 in May 2024 to 17 in May 2025.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes8.3%
50.0%prior 2
Minor Injury5minor injury crashes13.9%
66.7%prior 3
No Injury28no injury crashes77.8%
47.4%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record

Top Contributing Factors

The most frequent contributing factor in May 2025 was 'Failed to yield right of way' with 11 incidents, a significant increase from 3 incidents in May 2024. Conversely, 'Followed too closely' decreased from 5 incidents in May 2024 to 1 in May 2025. 'Inattention' also saw a decrease, from 5 incidents in May 2024 to 3 in May 2025, while 'No improper driving' increased from 3 to 6 incidents.

Officer-Reported Primary Contributing Cause

Failed to yield right of way11 (30.6%)
No improper driving6 (16.7%)
Inattention3 (8.3%)-40.0%prior 5
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (8.3%)
Failure to keep in proper lane or running off road2 (5.6%)
Physical impairment2 (5.6%)
Followed too closely1 (2.8%)-80.0%prior 5
Operating defective equipment1 (2.8%)
Fatigued/asleep1 (2.8%)
Other improper action1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather remained the most common condition for crashes in both periods, though its count decreased from 24 in May 2024 to 19 in May 2025, even as total crashes rose. Crashes in cloudy conditions increased from 2 to 9, and daylight crashes rose from 18 to 25 year-over-year. Road surface conditions remained largely consistent, with dry conditions dominating both periods and wet conditions remaining at 3 crashes.

Weather

Clear19 (52.8%)
-20.8%prior 24
Cloudy9 (25.0%)
Clear/Clear4 (11.1%)
Rain1 (2.8%)
Clear/Unknown1 (2.8%)
Clear/Other1 (2.8%)
Cloudy/Rain1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash

Lighting

Daylight25 (69.4%)
38.9%prior 18
Dark - roadway not lighted7 (19.4%)
-12.5%prior 8
Dawn2 (5.6%)
Dark - lighted roadway1 (2.8%)
Dusk1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Lighting condition field

Road Surface

Dry33 (91.7%)
32.0%prior 25
Wet3 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (63 vehicles)

1
CHEVROLET14 (22.2%)
2
GMC6 (9.5%)
3
SUBARU5 (7.9%)
4
JEEP5 (7.9%)
0.0%prior 5
5
FORD5 (7.9%)
0.0%prior 5
6
TOYOTA5 (7.9%)
-44.4%prior 9
7
HONDA4 (6.3%)
8
NISSAN4 (6.3%)
9
TESL2 (3.2%)
10
HYUNDAI2 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records

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

Sex Distribution (87 persons with recorded sex)

Male47 (54.0%)
74.1%prior 27
Female40 (46.0%)
42.9%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 40 mph zones saw the largest increase, rising from 7 in May 2024 to 13 in May 2025. Crashes in 45 mph zones also increased from 3 to 6, and 30 mph zones saw a slight rise from 6 to 7 incidents. Conversely, crashes in 55 mph zones decreased from 6 to 5, and 60 mph and 65 mph zones, which accounted for 3 and 1 crashes respectively in May 2024, had no reported crashes in May 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-05-01 through 2025-05-31 (31 days)
  • Geographic scope: SANDWICH, MA
  • Total crash records analyzed: 36
  • Total persons involved: 89
  • Total vehicles involved: 63

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: May 2025." Published June 21, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/sandwich/may-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

ThatCarHitMe.com · An Injuria.ai Company

Sandwich, MA Crash Report — May 2025 | ThatCarHitMe.com