Monthly Traffic Safety Analysis

11 CRASHES IN
STOCKBRIDGE, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, STOCKBRIDGE experienced 11 crashes, an increase from 9 crashes in July 2024, representing a 22.2% rise year-over-year. The most significant shift observed was a 75.0% decrease in total injuries, falling from 4 injuries in July 2024 to 1 injury in July 2025. Fatal crashes remained at zero in both periods.

11

22.2%was 9

Total Crash Events

0

Persons Killed

1

-75.0%was 4

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 · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in STOCKBRIDGE showed an upward trend, increasing by 22.2% from 9 crashes in July 2024 to 11 crashes in July 2025. Despite this increase in crash volume, total injuries decreased substantially by 75.0%, from 4 to 1, while fatalities remained at zero in both periods.

1

Hit-and-Run Crashes — July 2025

9.1% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 4-75.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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 year-over-year, with the peak day moving from Friday, which had 4 crashes in July 2024, to Wednesday, which recorded 4 crashes in July 2025. The peak hour also changed from 12p with 3 crashes in July 2024 to 11a with 3 crashes in July 2025. Additionally, Friday saw a decrease in crashes from 4 to 2, while Wednesday experienced an increase from 1 to 4 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both July 2024 and July 2025. The overall number of injuries significantly decreased from 4 in July 2024 to 1 in July 2025, with serious and possible injuries no longer reported in the current period. Consequently, the proportion of crashes resulting in 'No Injury' increased from 66.7% (6 crashes) in July 2024 to 90.9% (10 crashes) in July 2025.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes9.1%
0.0%prior 1
No Injury10no injury crashes90.9%
66.7%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'Inattention,' increased from 2 crashes in July 2024 to 3 crashes in July 2025, a 50.0% rise in count. Conversely, 'Failure to keep in proper lane or running off road' decreased by 50.0% in count, from 2 crashes to 1 crash. 'No improper driving' remained consistent at 2 crashes in both periods, while 'Failed to yield right of way' emerged as a new top factor in July 2025 with 2 crashes.

Officer-Reported Primary Contributing Cause

Inattention3 (27.3%)
No improper driving2 (18.2%)
Failed to yield right of way2 (18.2%)
Failure to keep in proper lane or running off road1 (9.1%)
Driving too fast for conditions1 (9.1%)
Distracted1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes predominantly occurred under clear weather conditions in both periods, with 88.9% of crashes (8 out of 9) in July 2024 and 90.9% of crashes (10 out of 11) in July 2025 reported as clear or clear/clear. Data for road surface conditions was not available for either period. Lighting conditions for July 2024 were not reported, but in July 2025, 9 of 11 crashes occurred during daylight.

Weather

Clear8 (80.0%)
0.0%prior 8
Clear/Clear2 (20.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight9 (90.0%)
Dark - lighted roadway1 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (19 vehicles)

1
HONDA5 (26.3%)
2
FORD3 (15.8%)
3
VOLKSWAGEN2 (10.5%)
4
LEXUS2 (10.5%)
5
KENTWORTH1 (5.3%)
6
BMW1 (5.3%)
7
OT1 (5.3%)
8
RAM1 (5.3%)
9
TOYOTA1 (5.3%)
10
CHRYSLER1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

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

Sex Distribution (22 persons with recorded sex)

Male14 (63.6%)
27.3%prior 11
Female8 (36.4%)
14.3%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

No fatal crashes were recorded in any speed zone during either July 2024 or July 2025. Crashes in the 25 mph zone decreased from 3 in July 2024 to 2 in July 2025, while crashes in the 65 mph zone increased from 2 to 3. Several speed zones, including 5 mph, 30 mph, and 45 mph, appeared in July 2025 but were not reported in July 2024, indicating a diversification of crash locations across different speed limits.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: STOCKBRIDGE, MA
  • Total crash records analyzed: 11
  • Total persons involved: 24
  • Total vehicles involved: 19

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). "STOCKBRIDGE, MA Crash Intelligence Report: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/stockbridge/july-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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