Monthly Traffic Safety Analysis

8 CRASHES IN
WEST BOYLSTON, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

In August 2025, WEST BOYLSTON experienced 8 total crashes, a notable decrease from the 17 crashes reported in August 2024. This represents a 53% reduction in overall crash incidents year-over-year. Despite the decrease in total crashes, the number of total injuries increased by 67%, rising from 3 injuries in the prior year to 5 injuries in the current period.

8

-52.9%was 17

Total Crash Events

0

Persons Killed

5

66.7%was 3

Persons Injured

0

-100.0%was 2

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 · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the trend for total crashes in WEST BOYLSTON shows a significant decline, decreasing by 53% from 17 crashes in August 2024 to 8 crashes in August 2025. Conversely, total injuries saw an upward trend, increasing by 67% from 3 injuries to 5 injuries over the same period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 366.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted year-over-year. In August 2025, the peak day for crashes was Saturday with 3 incidents, differing from August 2024 where Friday saw the most crashes with 5 incidents. The peak hour also changed, moving from 4 p.m. with 4 crashes in the prior year to 12 p.m. with 2 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While no fatalities occurred in either period, the distribution of injury severity changed. Minor injury crashes increased from 2 incidents (11.8% of total crashes) in August 2024 to 3 incidents (37.5% of total crashes) in August 2025. Possible injury crashes, which accounted for 1 incident (5.9% of total crashes) in the prior year, were not present in the current period, while no injury crashes decreased from 13 to 5.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes37.5%
50.0%prior 2
No Injury5no injury crashes62.5%
-61.5%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

The most frequent contributing factor, "No improper driving," decreased significantly from 9 crashes in August 2024 to 2 crashes in August 2025, a reduction of 7 incidents. "Followed too closely" also saw a decrease, going from 3 crashes to 1 crash. Factors such as "Failure to keep in proper lane or running off road," "Disregarded traffic signs, signals, road markings," and "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" each appeared with 1 crash in the current period, whereas they were not listed as prominent factors in the prior year.

Officer-Reported Primary Contributing Cause

No improper driving2 (25%)-77.8%prior 9
Failed to yield right of way1 (12.5%)
Failure to keep in proper lane or running off road1 (12.5%)
Disregarded traffic signs, signals, road markings1 (12.5%)
Followed too closely1 (12.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (12.5%)
Fatigued/asleep1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Regarding weather conditions, crashes occurring in clear weather decreased from 14 incidents in August 2024 to 6 incidents in August 2025. Daylight crashes also saw a reduction, dropping from 12 incidents to 6 incidents year-over-year, while crashes in "Dark - lighted roadway" remained consistent at 2 incidents. Data for road surface conditions was not available for the current period, preventing a comparison.

Weather

Clear6 (75.0%)
-57.1%prior 14
Clear/Other1 (12.5%)
Cloudy1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight6 (75.0%)
-50.0%prior 12
Dark - lighted roadway2 (25.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (15 vehicles)

1
JEEP3 (20%)
2
FORD2 (13.3%)
-66.7%prior 6
3
NISSAN2 (13.3%)
4
GENS1 (6.7%)
5
LINC1 (6.7%)
6
PTRB1 (6.7%)
7
SUBARU1 (6.7%)
8
ACURA1 (6.7%)
9
TOYOTA1 (6.7%)
-80.0%prior 5
10
AUDI1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

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

Sex Distribution (17 persons with recorded sex)

Male9 (52.9%)
-47.1%prior 17
Female8 (47.1%)
-52.9%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 30 mph speed zones remained constant at 5 incidents in both August 2024 and August 2025. However, crashes in 40 mph zones decreased from 6 incidents in the prior year to 2 incidents in the current period. Crashes in 25 mph, 35 mph, and 65 mph zones, which were present in August 2024, were not observed in the August 2025 data, while a crash in a 20 mph zone appeared in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: WEST BOYLSTON, MA
  • Total crash records analyzed: 8
  • Total persons involved: 18
  • Total vehicles involved: 15

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). "WEST BOYLSTON, MA Crash Intelligence Report: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/west-boylston/august-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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West Boylston, MA Crash Report — August 2025 | ThatCarHitMe.com