Monthly Traffic Safety Analysis

48 CRASHES IN
NANTUCKET, MA
JUNE 2025

All metrics benchmarked againstJune 2024

Total crashes in June 2025 were 48, an increase of 29.73% compared to 37 crashes in June 2024. This period saw a significant rise in hit-and-run incidents, with 10 such crashes in June 2025 compared to 4 in June 2024.

48

▲ 29.7%was 37

Total Crash Events

0

Persons Killed

2

▼ -71.4%was 7

Persons Injured

10

▲ 150.0%was 4

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. 4 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in Nantucket increased by 29.73% year-over-year, from 37 crashes in June 2024 to 48 crashes in June 2025. Despite this rise in crash incidents, total injuries decreased substantially by 71.43%, from 7 injuries in June 2024 to 2 injuries in June 2025.

10

Hit-and-Run Crashes — June 2025

▲ 150.0% vs prior (4)

Hit-and-run crashes increased significantly year-over-year, rising from 4 incidents in June 2024 to 10 incidents in June 2025. Consequently, the hit-and-run rate more than doubled, increasing from 10.8% in June 2024 to 20.8% in June 2025.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

0

Cyclists Killed

Prior: 0→0.0%

1

Pedestrians Injured

Prior: 0→%

1

Cyclists Injured

Prior: 3↓-66.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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 Monday in June 2024, which recorded 10 crashes, to Saturday and Tuesday in June 2025, both with 9 crashes. The peak crash hour remained 3 PM in both periods, experiencing 4 crashes in June 2024 and increasing to 6 crashes in June 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both June 2024 and June 2025, with no fatal crashes reported. Total injuries significantly decreased by 71.43%, from 7 injuries in June 2024 to 2 injuries in June 2025. In June 2025, all 2 injuries were minor, while June 2024 included 1 serious injury, 3 minor injuries, and 2 possible injuries.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes4.2%
↓-33.3%prior 3
No Injury42no injury crashes87.5%
↑50.0%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record

Top Contributing Factors

The count of "No improper driving" incidents increased from 8 in June 2024 to 18 in June 2025. Conversely, "Failed to yield right of way" decreased from 8 incidents to 4 incidents year-over-year. "Inattention," which was not a reported factor in June 2024, accounted for 5 crashes in June 2025.

Officer-Reported Primary Contributing Cause

No improper driving18 (37.5%)↑125.0%prior 8
Inattention5 (10.4%)
Other improper action5 (10.4%)
Failed to yield right of way4 (8.3%)↓-50.0%prior 8
Failure to keep in proper lane or running off road2 (4.2%)
Distracted2 (4.2%)
Wrong side or wrong way1 (2.1%)
Made an improper turn1 (2.1%)
Followed too closely1 (2.1%)
Illness1 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on wet road surfaces increased from 3 in June 2024 to 7 in June 2025. Similarly, crashes in dark conditions rose from 6 incidents in June 2024 to 8 incidents in June 2025. The number of crashes under clear weather conditions decreased from 32 in June 2024 to 29 in June 2025.

Weather

Clear18 (39.1%)
↑125.0%prior 8
Clear/Clear11 (23.9%)
↓-54.2%prior 24
Cloudy10 (21.7%)
Rain/Rain2 (4.3%)
Cloudy/Cloudy2 (4.3%)
Rain2 (4.3%)
Fog, smog, smoke/Rain1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash

Lighting

Daylight38 (80.9%)
↑22.6%prior 31
Dark - lighted roadway3 (6.4%)
Dark - roadway not lighted3 (6.4%)
Dark - unknown roadway lighting2 (4.3%)
Dawn1 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field

Road Surface

Dry37 (78.7%)
↑12.1%prior 33
Wet7 (14.9%)
Sand, mud, dirt, oil, gravel2 (4.3%)
Other1 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 68 in June 2024 to 81 in June 2025. While Ford remained the top vehicle make involved, its count increased from 15 to 17, and Toyota involvement decreased from 13 to 9. The 16-20 and 65+ age groups saw decreases in persons involved, from 8 to 4 and 12 to 8 respectively, while the 35-44 age group increased from 16 to 22.

Top Vehicle Makes (81 vehicles)

1
FORD17 (21%)
↑13.3%prior 15
2
JEEP12 (14.8%)
↑9.1%prior 11
3
TOYOTA9 (11.1%)
↓-30.8%prior 13
4
VOLVO5 (6.2%)
5
CHEVROLET5 (6.2%)
6
HONDA5 (6.2%)
7
BMW4 (4.9%)
8
SUBARU3 (3.7%)
9
ROGE2 (2.5%)
10
VOLKSWAGEN2 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records

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

Sex Distribution (86 persons with recorded sex)

Male53 (61.6%)
↓-20.9%prior 67
Female33 (38.4%)
↑65.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Person-level records linked to crash events

Speed Limit Zones

In June 2025, crashes were only reported in the 5 mph speed zone, with 1 incident. This contrasts with June 2024, which recorded crashes across 5 mph, 10 mph, 25 mph, and 45 mph speed zones, each with 1 crash. Fatal rates remained at 0 for all reported speed zones in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-06-01 through 2025-06-30 (30 days)
  • Geographic scope: NANTUCKET, MA
  • Total crash records analyzed: 48
  • Total persons involved: 107
  • Total vehicles involved: 81

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). "NANTUCKET, MA Crash Intelligence Report: June 2025." Published June 21, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/nantucket/june-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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Nantucket, MA Crash Report — June 2025 | ThatCarHitMe.com