Monthly Traffic Safety Analysis

11 CRASHES IN
SHERBORN, MA
OCTOBER 2025

All metrics benchmarked againstOctober 2024

In October 2025, SHERBORN experienced 11 crashes, a notable decrease of 38.9% compared to the 18 crashes recorded in October 2024. Total injuries also saw a significant reduction, falling from 5 to 2 year-over-year. The most notable shift was the overall decrease in crash incidents and associated injuries, with DUI-related crashes increasing from 0 to 1 despite the general decline.

11

▼ -38.9%was 18

Total Crash Events

0

Persons Killed

2

▼ -60.0%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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a significant decrease in crash incidents year-over-year, with total crashes falling by 38.9% from 18 to 11. Concurrently, the number of total injuries decreased by 60%, from 5 injuries in October 2024 to 2 injuries in October 2025. Fatalities remained at zero in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

2

Motorists Injured

Prior: 5↓-60.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · 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 Thursday in October 2024 (5 crashes) to Friday in October 2025 (7 crashes). The peak hour for crashes remained 4 p.m. in both periods, although the count at this hour decreased from 5 crashes in the prior year to 3 crashes in the current year. Crashes in October 2025 were more concentrated on Fridays, with no crashes reported on Sunday, Monday, or Tuesday, unlike October 2024 which saw crashes across all days of the week.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either October 2024 or October 2025, maintaining a 0% fatal crash rate. Total injuries decreased from 5 in the prior period to 2 in the current period, with no serious injuries reported in October 2025 compared to one serious injury in October 2024. The proportion of crashes resulting in no injury increased from 77.8% in October 2024 to 81.8% in October 2025.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes9.1%
→0.0%prior 1
Possible Injury1possible injury crashes9.1%
↓-50.0%prior 2
No Injury9no injury crashes81.8%
↓-35.7%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to 'No improper driving' decreased from 5 in October 2024 to 2 in October 2025. 'Inattention' as a contributing factor also saw a decrease, from 4 crashes to 1 crash year-over-year. Conversely, 'Followed too closely' increased from 1 crash to 2 crashes, and 'Failed to yield right of way' emerged as a factor in 2 crashes in October 2025, not being among the top factors in the prior period.

Officer-Reported Primary Contributing Cause

Followed too closely2 (18.2%)
Failed to yield right of way2 (18.2%)
No improper driving2 (18.2%)↓-60.0%prior 5
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (9.1%)
Distracted1 (9.1%)
Inattention1 (9.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Regarding lighting conditions, crashes occurring in daylight decreased from 12 in October 2024 to 7 in October 2025. Crashes in 'Dark - roadway not lighted' also saw a reduction, from 3 to 2. Data for weather and road surface conditions were not available for comparison in the prior period.

Weather

Clear9 (81.8%)
Cloudy1 (9.1%)
Cloudy/Rain1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Weather condition at time of crash

Lighting

Daylight7 (63.6%)
↓-41.7%prior 12
Dark - roadway not lighted2 (18.2%)
Dark - lighted roadway1 (9.1%)
Dawn1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Lighting condition field

Road Surface

Dry10 (90.9%)
Wet1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (16 vehicles)

1
TESL2 (12.5%)
2
NISSAN2 (12.5%)
3
FORD2 (12.5%)
4
HONDA1 (6.3%)
↓-83.3%prior 6
5
JEEP1 (6.3%)
6
KW1 (6.3%)
7
MAZDA1 (6.3%)
8
SUBARU1 (6.3%)
9
TOYOTA1 (6.3%)
↓-80.0%prior 5
10
AUDI1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Vehicle unit records

Sex Distribution (23 persons with recorded sex)

Male12 (52.2%)
↓-45.5%prior 22
Female11 (47.8%)
↓-8.3%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones remained constant at 6 crashes in both October 2024 and October 2025. Crashes in 35 mph zones decreased from 5 to 3, and crashes in 40 mph zones decreased from 4 to 2. There were no crashes reported in 20 mph, 25 mph, or 45 mph zones in October 2025, which had 1, 1, and 1 crash respectively in October 2024, and no fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · 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: 2025-10-01 through 2025-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-10-01 through 2025-10-31 (31 days)
  • Geographic scope: SHERBORN, MA
  • Total crash records analyzed: 11
  • Total persons involved: 23
  • Total vehicles involved: 16

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). "SHERBORN, MA Crash Intelligence Report: October 2025." Published June 21, 2026. Reporting period: 2025-10-01 to 2025-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/sherborn/october-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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Sherborn, MA Crash Report — October 2025 | ThatCarHitMe.com