Monthly Traffic Safety Analysis

11 CRASHES IN
WEST TISBURY, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, WEST TISBURY experienced 11 total crashes, a 10% increase compared to the 10 crashes reported in July 2024. Total injuries also saw an increase, rising by 20% from 5 in July 2024 to 6 in July 2025. One notable shift was the increase in crashes attributed to 'Inattention,' which more than doubled from 1 in the prior year to 3 in the current period.

11

10.0%was 10

Total Crash Events

0

Persons Killed

6

20.0%was 5

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. 1 crash with unreported severity is not shown in the severity breakdown.

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

Crash data for WEST TISBURY indicates an upward trend in crash incidents year-over-year, with total crashes increasing by 10% from 10 in July 2024 to 11 in July 2025. Concurrently, the number of total injuries rose by 20%, from 5 in the prior period to 6 in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

6

Motorists Injured

Prior: 520.0%

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 remained Friday in both periods, with 3 crashes reported. However, the peak hour shifted from 1p in July 2024 (3 crashes) to 2p in July 2025 (3 crashes). Notably, crashes on Tuesdays decreased significantly from 3 in the prior period to 0 in the current period, while crashes on Sundays increased from 0 to 2.

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 fatal crashes or fatalities reported in either July 2024 or July 2025. The proportion of minor injury crashes increased from 20% (2 crashes) in the prior period to 45.5% (5 crashes) in the current period. Additionally, crashes resulting in possible injuries, which accounted for 20% (2 crashes) in July 2024, were not reported in July 2025.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes45.5%
150.0%prior 2
No Injury5no injury crashes45.5%
-16.7%prior 6

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

The count of crashes attributed to 'No improper driving' increased from 2 in July 2024 to 4 in July 2025. Similarly, 'Inattention' as a contributing factor rose from 1 crash to 3 crashes year-over-year. Conversely, crashes due to 'Followed too closely' decreased from 2 to 1, and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' also decreased from 2 crashes to 1.

Officer-Reported Primary Contributing Cause

No improper driving4 (36.4%)
Inattention3 (27.3%)
Followed too closely1 (9.1%)
History heart/epilepsy/fainting1 (9.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (9.1%)

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

Road & Environmental Conditions

The number of crashes occurring in 'Daylight' conditions increased from 7 in July 2024 to 10 in July 2025. Crashes on 'Dry' road surfaces also increased from 7 to 9 year-over-year, while crashes on 'Wet' road surfaces decreased from 3 to 2. There was a slight increase in crashes during rainy conditions, with 2 crashes reported as 'Rain/Rain' in the current period compared to 1 crash reported as 'Rain/Cloudy' in the prior period.

Weather

Clear5 (45.5%)
Clear/Clear4 (36.4%)
Rain/Rain2 (18.2%)

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

Lighting

Daylight10 (90.9%)
42.9%prior 7
Dark - roadway not lighted1 (9.1%)

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

Road Surface

Dry9 (81.8%)
28.6%prior 7
Wet2 (18.2%)

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

Vehicles & Demographics

Top Vehicle Makes (16 vehicles)

1
JEEP6 (37.5%)
2
GMC1 (6.3%)
3
HONDA1 (6.3%)
4
KIA1 (6.3%)
5
MINNI1 (6.3%)
6
NISSAN1 (6.3%)
7
SUBARU1 (6.3%)
8
TOYOTA1 (6.3%)
9
VESPA1 (6.3%)
10
FORD1 (6.3%)

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

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

Sex Distribution (18 persons with recorded sex)

Female9 (50.0%)
200.0%prior 3
Male9 (50.0%)
-18.2%prior 11

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 25 MPH zones decreased from 4 in July 2024 to 1 in July 2025, while crashes in 40 MPH zones decreased from 2 to 1. The number of crashes in 35 MPH zones remained stable at 2 for both periods. Additionally, the current period reported crashes in 15 MPH (2 crashes), 20 MPH (2 crashes), and 45 MPH (2 crashes) zones, which were not present in the prior period's data, while crashes in 30 MPH zones (2 crashes in prior) were not reported in the current 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: WEST TISBURY, MA
  • Total crash records analyzed: 11
  • Total persons involved: 19
  • 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). "WEST TISBURY, 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/west-tisbury/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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West Tisbury, MA Crash Report — July 2025 | ThatCarHitMe.com