Monthly Traffic Safety Analysis

9 CRASHES IN
EASTHAM, MA
APRIL 2026

All metrics benchmarked againstApril 2025

In April 2026, Eastham experienced 9 total crashes, an increase from the 7 crashes reported in April 2025. This represents a 28.6% rise in total crashes year-over-year. A notable shift is the decrease in total injuries from 1 in the prior period to 0 in the current period.

9

28.6%was 7

Total Crash Events

0

Persons Killed

0

-100.0%was 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. 9 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Eastham increased year-over-year, rising from 7 total crashes in April 2025 to 9 in April 2026. This constitutes a 28.6% increase in crash incidents. Concurrently, total injuries decreased by 100%, from 1 injury in April 2025 to 0 injuries in April 2026.

When Crashes Happen

The temporal distribution of crashes shifted year-over-year; the peak day for crashes moved from Monday in April 2025 (2 crashes) to Saturday in April 2026 (3 crashes). The peak crash hour also changed, moving from 3 PM in April 2025 (2 crashes) to 12 PM in April 2026 (2 crashes). Additionally, April 2026 saw crashes on Wednesday and Friday, which had no crashes in April 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash time field aggregated by hour (0-23)

Top Contributing Factors

Inattention remained the most frequently cited contributing factor, increasing from 3 crashes (42.9% share) in April 2025 to 4 crashes (44.4% share) in April 2026. Factors such as 'Driving too fast for conditions' and 'Failure to keep in proper lane or running off road' each appeared with 1 crash in April 2026, having not been present in April 2025. Conversely, 'No improper driving' decreased from 1 crash in April 2025 to 0 crashes in April 2026.

Officer-Reported Primary Contributing Cause

Inattention4 (44.4%)
Driving too fast for conditions1 (11.1%)
Failure to keep in proper lane or running off road1 (11.1%)
Followed too closely1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Regarding weather conditions, crashes occurring in 'Clear' weather increased from 4 in April 2025 to 6 in April 2026. Crashes in 'Cloudy' conditions remained stable at 2 for both periods. Additionally, April 2026 recorded 1 crash in 'Rain' conditions, which was not observed in April 2025.

Weather

Clear6 (66.7%)
Cloudy2 (22.2%)
Rain1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Weather condition at time of crash

Road Surface

Dry7 (77.8%)
Wet2 (22.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (16 vehicles)

1
TOYOTA5 (31.3%)
2
HYUNDAI2 (12.5%)
3
JEEP2 (12.5%)
4
FORD2 (12.5%)
5
MAZDA1 (6.3%)
6
GMC1 (6.3%)
7
BMW1 (6.3%)
8
CHEVROLET1 (6.3%)
9
ACURA1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Vehicle unit records

Sex Distribution (19 persons with recorded sex)

Male13 (68.4%)
44.4%prior 9
Female6 (31.6%)
20.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 40 mph speed zones increased from 3 in April 2025 to 5 in April 2026. Crashes in 25 mph zones decreased from 3 in April 2025 to 0 in April 2026. The current period also saw crashes in 15 mph (1 crash), 20 mph (1 crash), and 30 mph (2 crashes) zones, which had no reported crashes in the prior period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · 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: 2026-04-01 through 2026-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-04-01 through 2026-04-30 (30 days)
  • Geographic scope: EASTHAM, MA
  • Total crash records analyzed: 9
  • 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). "EASTHAM, MA Crash Intelligence Report: April 2026." Published June 21, 2026. Reporting period: 2026-04-01 to 2026-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/eastham/april-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 — April 2026 | ThatCarHitMe.com