Monthly Traffic Safety Analysis

11 CRASHES IN
EASTHAM, MA
SEPTEMBER 2025

All metrics benchmarked againstSeptember 2024

Total crashes in Eastham decreased from 16 in September 2024 to 11 in September 2025, representing a 31.25% reduction year-over-year. The most notable shift was a 40% decrease in total injuries, falling from 5 to 3. Additionally, hit-and-run crashes increased from 0 to 1, while DUI, pedestrian, and bicycle crashes each decreased from 1 to 0.

11

-31.3%was 16

Total Crash Events

0

Persons Killed

3

-40.0%was 5

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 · 2025-09-01 to 2025-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Eastham showed a significant downward trend, decreasing by 31.25% from 16 crashes in September 2024 to 11 crashes in September 2025. This reduction also corresponded with a 40% decrease in total injuries, falling from 5 to 3 over the same period. Fatalities remained at zero for both reporting periods.

1

Hit-and-Run Crashes — September 2025

9.1% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 4-25.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted considerably year-over-year. In September 2024, the peak day for crashes was Monday with 4 incidents, and the peak hour was 5 p.m. with 3 crashes. However, in September 2025, crashes peaked on Wednesday with 7 incidents, and the peak hour shifted to 10 a.m. with 4 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total injuries decreased by 40%, from 5 in September 2024 to 3 in September 2025, with no fatalities recorded in either period. In September 2024, there was 1 serious injury, accounting for 6.3% of crashes, which was not present in September 2025. Minor injuries accounted for 18.8% of crashes (3 incidents) in the prior period and 18.2% (2 incidents) in the current period.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes18.2%
-33.3%prior 3
Possible Injury1possible injury crashes9.1%
No Injury8no injury crashes72.7%
-33.3%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Most severe injury per crash record

Top Contributing Factors

Inattention emerged as the leading contributing factor in September 2025, involved in 7 crashes, a substantial increase from 2 crashes in September 2024. Conversely, "No improper driving" decreased from 5 crashes in September 2024 to 2 crashes in September 2025. Factors like "Disregarded traffic signs, signals, road markings" (2 crashes) and "Other improper action" (2 crashes) were present in September 2024 but not reported in September 2025.

Officer-Reported Primary Contributing Cause

Inattention7 (63.6%)
No improper driving2 (18.2%)-60.0%prior 5
Made an improper turn1 (9.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The distribution of crashes by weather conditions saw a shift, with "Clear" conditions accounting for 11 crashes in September 2024 compared to 5 in September 2025. Crashes occurring on "Wet" road surfaces increased from 2 in September 2024 to 5 in September 2025, despite an overall decrease in total crashes. Daylight remained the dominant lighting condition for crashes in both periods, accounting for 13 incidents in September 2024 and 9 in September 2025.

Weather

Clear5 (45.5%)
-54.5%prior 11
Rain/Cloudy2 (18.2%)
Cloudy1 (9.1%)
Cloudy/Rain1 (9.1%)
Rain1 (9.1%)
Rain/Other1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Weather condition at time of crash

Lighting

Daylight9 (81.8%)
-30.8%prior 13
Dark - lighted roadway1 (9.1%)
Dusk1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Lighting condition field

Road Surface

Dry6 (54.5%)
-57.1%prior 14
Wet5 (45.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (22 vehicles)

1
HONDA4 (18.2%)
-20.0%prior 5
2
TOYOTA3 (13.6%)
-62.5%prior 8
3
CHEVROLET3 (13.6%)
4
JEEP2 (9.1%)
5
FORD2 (9.1%)
6
SUBARU1 (4.5%)
7
BUIC1 (4.5%)
8
VOLVO1 (4.5%)
9
GMC1 (4.5%)
10
LEXUS1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records

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

Sex Distribution (26 persons with recorded sex)

Male14 (53.8%)
-26.3%prior 19
Female12 (46.2%)
-45.5%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones saw some changes. In September 2024, 11 crashes occurred in 40 mph zones, decreasing to 7 crashes in 40 mph zones in September 2025. Crashes in 30 mph zones remained constant at 3 incidents for both periods. Fatal rates remained at zero across all speed zones for both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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: 2025-09-01 through 2025-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-09-01 through 2025-09-30 (30 days)
  • Geographic scope: EASTHAM, MA
  • Total crash records analyzed: 11
  • Total persons involved: 30
  • Total vehicles involved: 22

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). "EASTHAM, MA Crash Intelligence Report: September 2025." Published June 21, 2026. Reporting period: 2025-09-01 to 2025-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/eastham/september-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

ThatCarHitMe.com · An Injuria.ai Company

Eastham, MA Crash Report — September 2025 | ThatCarHitMe.com