Monthly Traffic Safety Analysis

5 CRASHES IN
EASTHAM, MA
MARCH 2026

All metrics benchmarked againstMarch 2025

Total crashes in EASTHAM decreased by 17% year-over-year, from 6 crashes in March 2025 to 5 crashes in March 2026. While overall crashes declined, the number of injuries increased from 0 to 1 during the same period. Fatalities remained at 0 in both March 2025 and March 2026.

5

-16.7%was 6

Total Crash Events

0

Persons Killed

1

Persons Injured

0

-100.0%was 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 · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in EASTHAM saw a downward trend, decreasing by 17% from 6 crashes in March 2025 to 5 crashes in March 2026. Despite this reduction in total incidents, the number of injuries rose from 0 in the prior period to 1 in the current period. Fatalities remained stable at 0 for both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · 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 Wednesday, which had 4 crashes in March 2025, to Tuesday, with 2 crashes in March 2026. Crash incidents on Wednesday significantly decreased from 4 to 1 year-over-year. The peak hour for crashes also shifted from 11 AM, with 2 crashes in March 2025, to 2 PM, also with 2 crashes in March 2026.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes20%
No Injury4no injury crashes80%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Inattention' increased by 100%, from 1 crash in March 2025 to 2 crashes in March 2026. 'Failed to yield right of way' remained consistent with 1 crash in both periods. Factors like 'No improper driving' (2 crashes in prior) and 'Failure to keep in proper lane or running off road' (1 crash in prior) were present in March 2025 but not in March 2026, while 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' (1 crash) and 'Other improper action' (1 crash) emerged in March 2026.

Officer-Reported Primary Contributing Cause

Inattention2 (40%)
Failed to yield right of way1 (20%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (20%)
Other improper action1 (20%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 5 in March 2025 to 3 in March 2026. Conversely, crashes in 'Cloudy' conditions increased from 1 to 2 year-over-year, representing an increase in their share of total crashes from 16.7% to 40%. Data for lighting conditions was only available for March 2025, and road surface conditions data was only available for March 2026, preventing a year-over-year comparison for these categories.

Weather

Clear3 (60.0%)
-40.0%prior 5
Cloudy2 (40.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash

Road Surface

Dry4 (80.0%)
Wet1 (20.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (10 vehicles)

1
HONDA2 (20%)
2
GMC2 (20%)
3
TOYOTA2 (20%)
4
CHEVROLET1 (10%)
5
HYUNDAI1 (10%)
6
FORD1 (10%)
7
RAM1 (10%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Vehicle unit records

Sex Distribution (13 persons with recorded sex)

Male7 (53.8%)
-12.5%prior 8
Female6 (46.2%)
100.0%prior 3

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 40 mph speed zones remained constant at 4 incidents in both March 2025 and March 2026. In March 2026, 1 crash occurred in a 5 mph zone, a speed limit not observed in the prior period's crash data. Conversely, March 2025 recorded 1 crash each in 25 mph and 30 mph zones, which were not present in March 2026. No fatal crashes were reported in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · 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: 2026-03-01 through 2026-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-03-01 through 2026-03-31 (31 days)
  • Geographic scope: EASTHAM, MA
  • Total crash records analyzed: 5
  • Total persons involved: 13
  • Total vehicles involved: 10

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: March 2026." Published June 21, 2026. Reporting period: 2026-03-01 to 2026-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/eastham/march-2026-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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Eastham, MA Crash Report — March 2026 | ThatCarHitMe.com