Monthly Traffic Safety Analysis

57 CRASHES IN
EASTON, MA
SEPTEMBER 2025

All metrics benchmarked againstSeptember 2024

Total crashes in Easton, MA increased from 40 in September 2024 to 57 in September 2025, representing a 42.5% rise. Despite this increase in crash volume, the total number of injuries decreased by 24% year-over-year.

57

42.5%was 40

Total Crash Events

0

Persons Killed

19

-24.0%was 25

Persons Injured

3

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

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 Easton, MA, showed a significant rising trend year-over-year, with total crashes increasing by 42.5% from 40 in September 2024 to 57 in September 2025. This indicates a notable increase in crash frequency during the current period.

3

Hit-and-Run Crashes — September 2025

5.3% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

19

Motorists Injured

Prior: 24-20.8%

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 peak day for crashes shifted from Wednesday (8 crashes) in September 2024 to Thursday (13 crashes) in September 2025. The peak hour also changed, moving from 7 PM (5 crashes) in the prior period to 3 PM (6 crashes) in the current period, suggesting a shift in high-risk times.

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

Fatalities remained at zero in both September 2024 and September 2025. Total injuries decreased by 24%, from 25 in the prior period to 19 in the current period. Notably, serious injury (A) crashes, which accounted for 2 crashes (5%) in September 2024, were absent in September 2025, while the proportion of no-injury crashes increased from 62.5% to 77.2%.

Outcome by Severity (Crash Events)

Minor Injury9minor injury crashes15.8%
-10.0%prior 10
Possible Injury2possible injury crashes3.5%
0.0%prior 2
No Injury44no injury crashes77.2%
76.0%prior 25

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 as a contributing factor saw a substantial increase, rising by 300% from 4 crashes in September 2024 to 16 crashes in September 2025, and its share among all factors grew from 10% to 28.1%. Failed to yield right of way also increased by 33.3% in count, from 12 to 16 crashes, though its share slightly decreased from 30% to 28.1%. Conversely, Driving too fast for conditions was noted in 2 crashes in the prior period but was not present in the current period.

Officer-Reported Primary Contributing Cause

Inattention16 (28.1%)
Failed to yield right of way16 (28.1%)33.3%prior 12
No improper driving6 (10.5%)0.0%prior 6
Failure to keep in proper lane or running off road5 (8.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (3.5%)
Followed too closely2 (3.5%)
Distracted1 (1.8%)
Other improper action1 (1.8%)
Physical impairment1 (1.8%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (1.8%)

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

Crashes occurring in "Clear" weather conditions increased from 29 in September 2024 to 46 in September 2025, while "Rain" conditions saw a slight decrease from 6 to 5 crashes. For lighting conditions, "Daylight" crashes rose from 25 to 47, and crashes in "Dark - lighted roadway" decreased from 11 to 7. The proportion of crashes on "Dry" road surfaces increased from 34 to 50, while "Wet" road crashes slightly increased from 6 to 7.

Weather

Clear46 (80.7%)
58.6%prior 29
Cloudy5 (8.8%)
0.0%prior 5
Rain5 (8.8%)
-16.7%prior 6
Cloudy/Rain1 (1.8%)

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

Lighting

Daylight47 (82.5%)
88.0%prior 25
Dark - lighted roadway7 (12.3%)
-36.4%prior 11
Dusk2 (3.5%)
Dark - unknown roadway lighting1 (1.8%)

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

Road Surface

Dry50 (87.7%)
47.1%prior 34
Wet7 (12.3%)
16.7%prior 6

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

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 71 to 105 year-over-year. Toyota, the top make in the prior period with 16 vehicles, decreased to 12 vehicles, tying with Nissan for second place, while Ford rose to the top with 13 vehicles (up from 6). There was a notable increase in persons aged 0-15 (from 6 to 33) and 16-20 (from 7 to 22) involved in crashes, alongside a decrease in the 26-34 age group (from 22 to 10).

Top Vehicle Makes (105 vehicles)

1
FORD13 (12.4%)
116.7%prior 6
2
NISSAN12 (11.4%)
100.0%prior 6
3
TOYOTA12 (11.4%)
-25.0%prior 16
4
HONDA11 (10.5%)
5
CHEVROLET7 (6.7%)
-12.5%prior 8
6
JEEP6 (5.7%)
7
HYUNDAI4 (3.8%)
8
GMC4 (3.8%)
9
MAZDA4 (3.8%)
10
DODGE3 (2.9%)

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

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

Sex Distribution (154 persons with recorded sex)

Male83 (53.9%)
80.4%prior 46
Female71 (46.1%)
102.9%prior 35

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

There were no fatal crashes reported in any speed zone for either period. Crashes occurring in 35 mph zones more than doubled from 5 in September 2024 to 12 in September 2025, and 30 mph zones saw an increase from 5 to 9 crashes. Meanwhile, crashes in 40 mph zones slightly decreased from 19 to 17.

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: EASTON, MA
  • Total crash records analyzed: 57
  • Total persons involved: 161
  • Total vehicles involved: 105

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). "EASTON, 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/easton/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

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