Monthly Traffic Safety Analysis

12 CRASHES IN
STOCKBRIDGE, MA
OCTOBER 2024

All metrics benchmarked againstOctober 2023

In October 2024, Stockbridge, MA, experienced 12 crashes, an increase from 11 crashes reported in October 2023, marking a 9.1% rise year-over-year. Despite this increase in crash events, total injuries decreased significantly from 3 in the prior period to 1 in the current period, a 66.7% reduction. There were no fatalities in either period.

12

9.1%was 11

Total Crash Events

0

Persons Killed

1

-66.7%was 3

Persons Injured

0

-100.0%was 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 · 2024-10-01 to 2024-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash events in Stockbridge, MA, saw a slight increase of 9.1% from 11 crashes in October 2023 to 12 crashes in October 2024. Concurrently, total injuries decreased by 66.7%, from 3 injuries in October 2023 to 1 injury in October 2024. Fatalities remained at zero for both periods.

Vulnerable Road User Casualties

0

Other Killed

Prior: 00.0%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak days for crashes in October 2024 were Sunday, Thursday, and Friday, each recording 3 crashes, a shift from October 2023 where Sunday and Tuesday were the peak days with 3 crashes each. The peak hour for crashes also changed, moving from 2 PM with 3 crashes in October 2023 to 12 PM with 2 crashes in October 2024. This indicates a slight redistribution of crash occurrences throughout the week and day.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The total number of injuries decreased by 66.7%, from 3 in October 2023 to 1 in October 2024. While there were no fatal crashes in either period, October 2024 recorded 1 serious injury crash compared to none in the prior year. Conversely, minor and possible injury crashes, which accounted for 2 and 1 crash respectively in October 2023, were absent in October 2024.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes8.3%
No Injury11no injury crashes91.7%
37.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Most severe injury per crash record

Top Contributing Factors

"No improper driving" increased from 2 crashes (18.2% share) in October 2023 to 4 crashes (33.3% share) in October 2024, a 100% increase in count, making it the most frequent factor. "Fatigued/asleep" emerged as a factor in October 2024 with 2 crashes, up from 0 in the prior year. Conversely, "Failure to keep in proper lane or running off road" decreased by 50% in count, from 2 crashes in October 2023 to 1 crash in October 2024. Several factors present in October 2023, such as "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" and "Visibility obstructed," were not reported in October 2024.

Officer-Reported Primary Contributing Cause

No improper driving4 (33.3%)
Failed to yield right of way2 (16.7%)
Fatigued/asleep2 (16.7%)
Followed too closely2 (16.7%)
Failure to keep in proper lane or running off road1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 7 in October 2023 to 8 in October 2024, while crashes in 'Cloudy' conditions decreased from 3 to 1. Crashes under 'Dark - roadway not lighted' conditions saw an increase from 3 in October 2023 to 4 in October 2024. The proportion of crashes occurring in 'Daylight' conditions remained stable at 7 crashes for both periods.

Weather

Clear8 (66.7%)
14.3%prior 7
Clear/Clear3 (25.0%)
Cloudy1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Weather condition at time of crash

Lighting

Daylight7 (58.3%)
0.0%prior 7
Dark - roadway not lighted4 (33.3%)
Dusk1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (15 vehicles)

1
NISSAN4 (26.7%)
2
TOYOTA3 (20%)
3
BMW2 (13.3%)
4
CHEVROLET2 (13.3%)
5
HYUNDAI1 (6.7%)
6
HONDA1 (6.7%)
7
SUBARU1 (6.7%)
8
FORD1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Vehicle unit records

Sex Distribution (17 persons with recorded sex)

Male10 (58.8%)
-50.0%prior 20
Female7 (41.2%)
-50.0%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 65 MPH speed limit zone significantly increased from 1 in October 2023 to 4 in October 2024, representing a 300% rise. Conversely, crashes in the 35 MPH zone decreased from 3 to 1 during the same period. The 25 MPH zone saw a 100% increase in crashes, from 1 to 2, while several speed zones present in October 2023 (20, 30, and 40 MPH) had no reported crashes in October 2024, and new zones (15, 45, and 55 MPH) appeared in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · 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: 2024-10-01 through 2024-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-10-01 through 2024-10-31 (31 days)
  • Geographic scope: STOCKBRIDGE, MA
  • Total crash records analyzed: 12
  • Total persons involved: 17
  • 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). "STOCKBRIDGE, MA Crash Intelligence Report: October 2024." Published June 21, 2026. Reporting period: 2024-10-01 to 2024-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/stockbridge/october-2024-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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Stockbridge, MA Crash Report — October 2024 | ThatCarHitMe.com