Monthly Traffic Safety Analysis

6 CRASHES IN
WESTPORT, MA
OCTOBER 2025

All metrics benchmarked againstOctober 2024

Total crashes in WESTPORT, MA decreased significantly from 40 in October 2024 to 6 in October 2025, marking an 85% reduction. The most notable shift was the substantial decrease in overall crash volume, accompanied by a change in the primary contributing factors and a shift in crash locations to higher speed zones.

6

-85.0%was 40

Total Crash Events

0

Persons Killed

1

-83.3%was 6

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 · 2025-10-01 to 2025-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend shows a substantial decrease in crash incidents year-over-year. Total crashes fell from 40 in October 2024 to 6 in October 2025, representing an 85% reduction in the current period.

1

Hit-and-Run Crashes — October 2025

0.0% vs prior (1)

The number of hit-and-run crashes remained constant at 1 in both October 2024 and October 2025. However, due to the overall decrease in total crashes, the hit-and-run rate increased from 2.5% in the prior period to 16.7% in the current period, indicating an upward trend in the proportion of such incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 6-83.3%

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 Saturday with 10 crashes in October 2024 to Thursday with 2 crashes in October 2025. Similarly, the peak crash hour moved from 6 PM with 6 crashes in the prior period to 7 PM with 2 crashes in the current period. This indicates a shift in the temporal distribution of crash occurrences.

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 reported in either October 2024 or October 2025. Total injuries decreased from 6 in the prior period to 1 in the current period. The proportion of crashes with possible injuries increased from 5% in October 2024 to 16.7% in October 2025, while minor injuries were reported only in the prior period.

Outcome by Severity (Crash Events)

Possible Injury1possible injury crashes16.7%
-50.0%prior 2
No Injury5no injury crashes83.3%
-85.7%prior 35

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 leading contributing factor in October 2025 was 'Failure to keep in proper lane or running off road' with 4 crashes, a significant increase from 1 crash in October 2024. 'Followed too closely' maintained 1 crash in both periods, but its share rose from 2.5% to 16.7% due to the overall crash reduction. 'No improper driving,' which accounted for 19 crashes (47.5% share) in the prior period, was not a reported factor in the current period's crashes.

Officer-Reported Primary Contributing Cause

Failure to keep in proper lane or running off road4 (66.7%)
Driving too fast for conditions1 (16.7%)
Followed too closely1 (16.7%)

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

Crashes under 'Clear/Clear' weather conditions increased from 1 in October 2024 to 4 in October 2025. Crashes occurring during 'Daylight' decreased substantially from 24 to 2, while those in 'Dark - roadway not lighted' conditions also decreased from 10 to 3. The number of crashes on 'Dry' road surfaces decreased from 39 to 5, with 'Wet' road surface crashes remaining at 1 in both periods.

Weather

Clear/Clear4 (66.7%)
Cloudy/Cloudy1 (16.7%)
Rain/Cloudy1 (16.7%)

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

Lighting

Dark - roadway not lighted3 (50.0%)
-70.0%prior 10
Daylight2 (33.3%)
-91.7%prior 24
Dawn1 (16.7%)

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

Road Surface

Dry5 (83.3%)
-87.2%prior 39
Wet1 (16.7%)

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 (11 vehicles)

1
TOYOTA4 (36.4%)
2
FORD2 (18.2%)
3
CHEVROLET1 (9.1%)
4
KIA1 (9.1%)
5
HONDA1 (9.1%)
-83.3%prior 6
6
GMC1 (9.1%)

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

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

Sex Distribution (11 persons with recorded sex)

Male6 (54.5%)
-82.9%prior 35
Female5 (45.5%)
-76.2%prior 21

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 35 mph speed zones decreased from 7 in October 2024 to 1 in October 2025. Conversely, crashes in 65 mph zones increased from 2 to 5 over the same period. The current period shows crashes concentrated in higher speed zones (35 mph and 65 mph), unlike the prior period which had crashes across a broader range of speed limits.

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: WESTPORT, MA
  • Total crash records analyzed: 6
  • Total persons involved: 14
  • Total vehicles involved: 11

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). "WESTPORT, 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/westport/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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Westport, MA Crash Report — October 2025 | ThatCarHitMe.com