Monthly Traffic Safety Analysis

33 CRASHES IN
EASTON, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

In August 2022, Easton experienced 33 crashes, a 5.7% decrease compared to the 35 crashes reported in August 2021. The most significant year-over-year shift was a notable decrease in total injuries, falling from 17 to 12, representing a 29.4% reduction.

33

-5.7%was 35

Total Crash Events

0

Persons Killed

12

-29.4%was 17

Persons Injured

0

Fatal Crash Events

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 · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for August 2022 indicates a slight downward trend in total crashes compared to the previous year, with a 5.7% decrease from 35 to 33 crashes. This period also saw a substantial 29.4% reduction in total injuries, dropping from 17 to 12.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

11

Motorists Injured

Prior: 17-35.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted notably year-over-year; the peak day for crashes moved from Sunday, with 7 crashes in August 2021, to Tuesday, which saw 11 crashes in August 2022. While the peak hour remained 5 PM with 4 crashes in both periods, Sunday crashes decreased by 43% from 7 to 4, and Tuesday crashes more than tripled from 3 to 11.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either August 2021 or August 2022. The overall number of injury crashes decreased from 17 to 12, a 29.4% reduction. Specifically, serious injuries decreased by 50% from 2 to 1, and possible injuries saw a 75% reduction from 4 to 1, while minor injuries increased from 7 to 9.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3%
-50.0%prior 2
Minor Injury9minor injury crashes27.3%
28.6%prior 7
Possible Injury1possible injury crashes3%
-75.0%prior 4
No Injury22no injury crashes66.7%
0.0%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record

Top Contributing Factors

The most frequent contributing factor in August 2022 was 'No improper driving' with 8 crashes, a substantial increase from 3 crashes in August 2021. Conversely, 'Failed to yield right of way' decreased from 6 crashes to 4, and 'Followed too closely' decreased from 6 crashes to 5. Notably, 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' crashes tripled from 1 to 3, and 'Distracted' crashes increased from 2 to 3.

Officer-Reported Primary Contributing Cause

No improper driving8 (24.2%)
Followed too closely5 (15.2%)-16.7%prior 6
Failed to yield right of way4 (12.1%)-33.3%prior 6
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (9.1%)
Distracted3 (9.1%)
Failure to keep in proper lane or running off road2 (6.1%)
Fatigued/asleep2 (6.1%)
Made an improper turn1 (3%)
Inattention1 (3%)
Other improper action1 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

While clear weather remained the dominant condition, its proportion of crashes decreased from 88.6% in August 2021 to 69.7% in August 2022, with crashes in cloudy conditions more than doubling from 2 to 6. Crashes occurring in dark, lighted roadway conditions tripled from 3 to 9. The number of crashes on wet road surfaces also increased from 2 to 5.

Weather

Clear23 (69.7%)
-25.8%prior 31
Cloudy6 (18.2%)
Rain3 (9.1%)
Cloudy/Rain1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash

Lighting

Daylight22 (66.7%)
-21.4%prior 28
Dark - lighted roadway9 (27.3%)
Dark - roadway not lighted1 (3.0%)
Dusk1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field

Road Surface

Dry27 (81.8%)
-18.2%prior 33
Wet5 (15.2%)
Sand, mud, dirt, oil, gravel1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes decreased from 87 to 62 year-over-year. A notable shift occurred in age distribution, with persons aged 45-54 seeing a 71.4% increase from 7 to 12, while those aged 0-15 saw a 69.2% decrease from 13 to 4. Among top vehicle makes, Toyota remained constant with 10 vehicles, while Honda vehicles involved decreased from 9 to 3, and Nissan vehicles increased from 2 to 6.

Top Vehicle Makes (50 vehicles)

1
TOYOTA10 (20%)
0.0%prior 10
2
FORD8 (16%)
-11.1%prior 9
3
NISSAN6 (12%)
4
DODGE3 (6%)
5
HONDA3 (6%)
-66.7%prior 9
6
CHEVROLET2 (4%)
7
HYUNDAI2 (4%)
8
KIA1 (2%)
9
LEXUS1 (2%)
10
MACK1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records

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

Sex Distribution (62 persons with recorded sex)

Male34 (54.8%)
-32.0%prior 50
Female28 (45.2%)
-24.3%prior 37

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph speed zones saw a substantial 200% increase, rising from 4 in August 2021 to 12 in August 2022, making it the most frequent speed zone for crashes. Conversely, crashes in 40 mph zones decreased by 53.3% from 15 to 7, and those in 45 mph zones decreased by 50% from 6 to 3. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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: 2022-08-01 through 2022-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-08-01 through 2022-08-31 (31 days)
  • Geographic scope: EASTON, MA
  • Total crash records analyzed: 33
  • Total persons involved: 62
  • Total vehicles involved: 50

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: August 2022." Published June 21, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/easton/august-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

ThatCarHitMe.com · An Injuria.ai Company

Easton, MA Crash Report — August 2022 | ThatCarHitMe.com