Monthly Traffic Safety Analysis

30 CRASHES IN
WESTPORT, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In WESTPORT, MA, total crashes decreased by 11.8%, from 34 in July 2024 to 30 in July 2025. Despite this reduction in total crashes, the number of reported injuries increased significantly by 66.7%, rising from 9 to 15 year-over-year. No fatalities were reported in either period.

30

-11.8%was 34

Total Crash Events

0

Persons Killed

15

66.7%was 9

Persons Injured

2

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 · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in total crashes in WESTPORT, MA, with a reduction of 4 crashes, or 11.8%, from 34 in July 2024 to 30 in July 2025. However, total injuries saw a notable increase of 66.7%, rising from 9 to 15 during the same period.

2

Hit-and-Run Crashes — July 2025

6.7% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

15

Motorists Injured

Prior: 966.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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 crashes in July 2024 to Tuesday with 6 crashes in July 2025. The peak hour for crashes remained consistent at 4 crashes, though it shifted from 11 AM in July 2024 to 12 PM in July 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either July 2024 or July 2025. Total injuries increased by 66.7%, from 9 to 15. The current period saw 1 serious injury and 3 possible injuries, categories not present in the prior period's reported injury severity data.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.3%
Minor Injury6minor injury crashes20%
-14.3%prior 7
Possible Injury3possible injury crashes10%
No Injury20no injury crashes66.7%
-25.9%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' decreased from 12 in July 2024 to 10 in July 2025, a 16.7% reduction. 'Inattention' as a contributing factor increased by 25%, from 4 crashes to 5 crashes year-over-year. Notably, factors like 'Visibility obstructed' (2 crashes) and 'Distracted' (2 crashes) were reported in July 2024 but not in July 2025, while 'Over-correcting/over-steering' (1 crash) and 'Physical impairment' (1 crash) were only reported in July 2025.

Officer-Reported Primary Contributing Cause

No improper driving10 (33.3%)-16.7%prior 12
Inattention5 (16.7%)
Failed to yield right of way3 (10%)
Followed too closely2 (6.7%)
Other improper action2 (6.7%)
Failure to keep in proper lane or running off road1 (3.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (3.3%)
Disregarded traffic signs, signals, road markings1 (3.3%)
Over-correcting/over-steering1 (3.3%)
Physical impairment1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather

Clear22 (73.3%)
-12.0%prior 25
Clear/Clear4 (13.3%)
Cloudy2 (6.7%)
Clear/Unknown1 (3.3%)
Fog, smog, smoke1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight27 (90.0%)
0.0%prior 27
Dark - lighted roadway1 (3.3%)
Dark - unknown roadway lighting1 (3.3%)
Dusk1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 9.4%, from 53 in July 2024 to 58 in July 2025. The 16-20 age group experienced a significant increase in persons involved, rising by 128.6% from 7 to 16, while the 21-25 age group saw a 70% decrease from 10 to 3 persons. Toyota remained the most frequently involved vehicle make, increasing from 13 to 15 vehicles.

Top Vehicle Makes (58 vehicles)

1
TOYOTA15 (25.9%)
15.4%prior 13
2
FORD6 (10.3%)
-14.3%prior 7
3
DODGE5 (8.6%)
4
CHEVROLET4 (6.9%)
-42.9%prior 7
5
GMC3 (5.2%)
6
SUBARU3 (5.2%)
7
NISSAN3 (5.2%)
8
ACURA2 (3.4%)
9
HONDA2 (3.4%)
10
JEEP2 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

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

Sex Distribution (66 persons with recorded sex)

Male37 (56.1%)
-11.9%prior 42
Female29 (43.9%)
31.8%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 30 mph speed zones saw a 120% increase, rising from 5 in July 2024 to 11 in July 2025. Conversely, crashes in 35 mph speed zones decreased by 85.7%, from 7 to 1. No fatal crashes were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: WESTPORT, MA
  • Total crash records analyzed: 30
  • Total persons involved: 73
  • Total vehicles involved: 58

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: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westport/july-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 — July 2025 | ThatCarHitMe.com