Monthly Traffic Safety Analysis

34 CRASHES IN
WESTPORT, MA
JULY 2024

All metrics benchmarked againstJuly 2023

In July 2024, Westport experienced 34 total crashes, a 9.7% increase from the 31 crashes recorded in July 2023. Despite this rise in total incidents, the number of total injuries decreased substantially by 47.1%, from 17 injuries in the prior year to 9 in the current period.

34

9.7%was 31

Total Crash Events

0

Persons Killed

9

-47.1%was 17

Persons Injured

0

Fatal Crash Events

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 · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in Westport increased by 9.7% year-over-year, rising from 31 in July 2023 to 34 in July 2024. Despite this, total injuries saw a significant decrease of 47.1%, falling from 17 to 9 over the same period, while fatalities remained stable at zero in both months.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

9

Motorists Injured

Prior: 16-43.8%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year; the peak day for crashes moved from Saturday with 7 incidents in July 2023 to Friday with 7 incidents in July 2024. Similarly, the peak hour for crashes changed from 4 PM with 4 incidents in the prior year to 11 AM with 4 incidents in the current year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both July 2023 and July 2024. Total injuries decreased by 47.1%, from 17 to 9, with serious injuries (code A) dropping from 1 to 0. Minor injuries (code B) remained constant at 7, while possible injuries (code C) decreased from 2 to 1.

Outcome by Severity (Crash Events)

Minor Injury7minor injury crashes20.6%
0.0%prior 7
No Injury27no injury crashes79.4%
35.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, crashes involving 'Inattention' increased by 100%, rising from 2 incidents in July 2023 to 4 in July 2024. Crashes related to 'Visibility obstructed' also doubled, from 1 to 2 incidents. Conversely, incidents involving 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' decreased by 50%, from 2 to 1 crash.

Officer-Reported Primary Contributing Cause

No improper driving12 (35.3%)0.0%prior 12
Inattention4 (11.8%)
Failed to yield right of way3 (8.8%)
Visibility obstructed2 (5.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (5.9%)
Distracted2 (5.9%)
Failure to keep in proper lane or running off road2 (5.9%)
Made an improper turn1 (2.9%)
Exceeded authorized speed limit1 (2.9%)
Disregarded traffic signs, signals, road markings1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The most common weather condition for crashes remained 'Clear' with 25 incidents in both periods. Crashes occurring in 'Daylight' conditions increased from 21 in July 2023 to 27 in July 2024, while those in 'Dark - roadway not lighted' conditions saw a slight increase from 5 to 6 incidents. The number of crashes on 'Wet' road surfaces increased from 3 to 4 year-over-year.

Weather

Clear25 (73.5%)
0.0%prior 25
Cloudy3 (8.8%)
Cloudy/Clear1 (2.9%)
Cloudy/Fog, smog, smoke1 (2.9%)
Cloudy/Rain1 (2.9%)
Fog, smog, smoke/Unknown1 (2.9%)
Rain1 (2.9%)
Clear/Unknown1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Weather condition at time of crash

Lighting

Daylight27 (79.4%)
28.6%prior 21
Dark - roadway not lighted6 (17.6%)
20.0%prior 5
Dark - unknown roadway lighting1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Lighting condition field

Road Surface

Dry30 (88.2%)
7.1%prior 28
Wet4 (11.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (53 vehicles)

1
TOYOTA13 (24.5%)
116.7%prior 6
2
CHEVROLET7 (13.2%)
3
FORD7 (13.2%)
4
KIA3 (5.7%)
5
HONDA2 (3.8%)
6
SUBARU2 (3.8%)
7
NISSAN2 (3.8%)
8
DODGE2 (3.8%)
9
MAZDA1 (1.9%)
10
MG1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Vehicle unit records

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

Sex Distribution (64 persons with recorded sex)

Male42 (65.6%)
35.5%prior 31
Female22 (34.4%)
-8.3%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones increased significantly from 1 in July 2023 to 4 in July 2024, representing a 300% rise. Crashes in 45 mph zones also increased by 40%, from 5 to 7 incidents. Conversely, crashes in 30 mph zones decreased by 28.6%, falling from 7 to 5 incidents year-over-year, with no fatalities reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · 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: 2024-07-01 through 2024-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-07-01 through 2024-07-31 (31 days)
  • Geographic scope: WESTPORT, MA
  • Total crash records analyzed: 34
  • Total persons involved: 66
  • Total vehicles involved: 53

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 2024." Published June 21, 2026. Reporting period: 2024-07-01 to 2024-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westport/july-2024-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 2024 | ThatCarHitMe.com