Monthly Traffic Safety Analysis

44 CRASHES IN
EASTON, MA
JUNE 2022

All metrics benchmarked againstJune 2021

Total crashes in Easton, MA increased by 10% year-over-year, rising from 40 crashes in June 2021 to 44 crashes in June 2022. While total crashes and injuries increased, the most notable shift was the absence of fatalities in June 2022, compared to one fatality in June 2021.

44

▲ 10.0%was 40

Total Crash Events

0

▼ -100.0%was 1

Persons Killed

20

▲ 25.0%was 16

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 · 2022-06-01 to 2022-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Easton, MA showed an upward trend, with total crashes increasing by 10% from 40 in June 2021 to 44 in June 2022. Total injuries also increased by 25%, from 16 to 20. However, fatalities decreased from 1 in June 2021 to 0 in June 2022.

1

Hit-and-Run Crashes — June 2022

▼ 0.0% vs prior (1)

The number of hit-and-run crashes remained consistent at 1 in both June 2021 and June 2022. The hit-and-run rate slightly decreased from 2.5% in June 2021 to 2.3% in June 2022.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

0

Motorists Killed

Prior: 1↓-100.0%

1

Pedestrians Injured

Prior: 0→%

19

Motorists Injured

Prior: 16↑18.8%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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 with 11 crashes in June 2021 to Wednesday with 9 crashes in June 2022. The peak hour remained 4 p.m. in both periods, though the number of crashes at that hour decreased from 7 in June 2021 to 5 in June 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 1 in June 2021 to 0 in June 2022. Minor injury crashes increased from 7 in June 2021 to 12 in June 2022, while serious injury crashes increased from 0 to 3. Possible injury crashes decreased from 6 to 4 year-over-year.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes6.8%
Minor Injury12minor injury crashes27.3%
↑71.4%prior 7
Possible Injury4possible injury crashes9.1%
↓-33.3%prior 6
No Injury25no injury crashes56.8%
↓-3.8%prior 26

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'Failed to yield right of way,' saw an increase of 7 crashes, rising from 9 in June 2021 to 16 in June 2022. 'Inattention' decreased by 3 crashes, from 6 in June 2021 to 3 in June 2022. 'Followed too closely' increased from 1 crash in June 2021 to 3 crashes in June 2022.

Officer-Reported Primary Contributing Cause

Failed to yield right of way16 (36.4%)↑77.8%prior 9
No improper driving9 (20.5%)↑28.6%prior 7
Failure to keep in proper lane or running off road3 (6.8%)↓-40.0%prior 5
Followed too closely3 (6.8%)
Other improper action3 (6.8%)
Inattention3 (6.8%)↓-50.0%prior 6
Disregarded traffic signs, signals, road markings2 (4.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (4.5%)
Glare1 (2.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 33 in June 2021 to 37 in June 2022. Crashes on wet road surfaces decreased from 5 in June 2021 to 3 in June 2022. Crashes in 'Dark - lighted roadway' conditions increased from 3 to 5.

Weather

Clear37 (84.1%)
↑12.1%prior 33
Cloudy4 (9.1%)
Rain3 (6.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Weather condition at time of crash

Lighting

Daylight36 (81.8%)
↓-2.7%prior 37
Dark - lighted roadway5 (11.4%)
Dawn2 (4.5%)
Dark - roadway not lighted1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Lighting condition field

Road Surface

Dry41 (93.2%)
↑17.1%prior 35
Wet3 (6.8%)
↓-40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Road surface condition field

Vehicles & Demographics

Toyota remained the top vehicle make involved in crashes, though its count slightly decreased from 16 in June 2021 to 15 in June 2022. The 16-20 age group saw a decrease in persons involved from 24 to 14, while the 45-54 age group saw a substantial increase from 7 to 17 persons involved.

Top Vehicle Makes (79 vehicles)

1
TOYOTA15 (19%)
↓-6.3%prior 16
2
FORD10 (12.7%)
↑11.1%prior 9
3
CHEVROLET9 (11.4%)
4
JEEP6 (7.6%)
5
HONDA6 (7.6%)
↓-25.0%prior 8
6
VOLKSWAGEN5 (6.3%)
7
NISSAN4 (5.1%)
8
DODGE3 (3.8%)
9
SUBARU2 (2.5%)
10
INFI1 (1.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Vehicle unit records

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

Sex Distribution (96 persons with recorded sex)

Female48 (50.0%)
↑37.1%prior 35
Male48 (50.0%)
↓-2.0%prior 49

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 40 mph speed zones increased from 14 to 16, and crashes in 45 mph speed zones increased from 3 to 8. The single fatal crash recorded in June 2021 occurred in a 40 mph speed zone, with no fatalities in any speed zone in June 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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: 2022-06-01 through 2022-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-06-01 through 2022-06-30 (30 days)
  • Geographic scope: EASTON, MA
  • Total crash records analyzed: 44
  • Total persons involved: 101
  • Total vehicles involved: 79

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: June 2022." Published June 21, 2026. Reporting period: 2022-06-01 to 2022-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/easton/june-2022-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 — June 2022 | ThatCarHitMe.com