Monthly Traffic Safety Analysis

26 CRASHES IN
NORTH ADAMS, MA
SEPTEMBER 2025

All metrics benchmarked againstSeptember 2024

In September 2025, NORTH ADAMS, MA experienced 26 total crashes, a notable decrease from the 34 crashes reported in September 2024. This represents a 23.5% reduction in total crashes year-over-year. The most significant shift was in hit-and-run incidents, which saw a substantial decline from 5 crashes in the prior period to just 1 crash in the current period.

26

-23.5%was 34

Total Crash Events

0

Persons Killed

5

-37.5%was 8

Persons Injured

1

-80.0%was 5

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes in NORTH ADAMS, MA decreased year-over-year, falling from 34 in September 2024 to 26 in September 2025. This indicates a downward trend in crash frequency, with 8 fewer crashes reported in the current period.

1

Hit-and-Run Crashes — September 2025

-80.0% vs prior (5)

Hit-and-run crashes in NORTH ADAMS, MA decreased substantially from 5 incidents in September 2024 to 1 incident in September 2025. This led to a significant drop in the hit-and-run rate, which fell from 14.7% in the prior period to 3.8% in the current period, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 6-16.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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 September 2025, the peak day for crashes was Saturday with 7 incidents, and the peak hour was 4 PM with 4 incidents. This contrasts with September 2024, when Friday was the peak day with 11 crashes, and 5 PM was the peak hour with 5 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either September 2025 or September 2024. Total injuries decreased from 8 in September 2024 to 5 in September 2025. While minor injuries remained constant at 3 in both periods, serious injuries, which accounted for 1 crash in September 2024, were not reported in September 2025.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes11.5%
0.0%prior 3
Possible Injury1possible injury crashes3.8%
-50.0%prior 2
No Injury21no injury crashes80.8%
-16.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to 'No improper driving' decreased from 11 in September 2024 to 6 in September 2025. Crashes involving 'Inattention' also saw a reduction, dropping from 6 to 4 incidents year-over-year. Conversely, crashes due to 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased from 3 in the prior period to 4 in the current period.

Officer-Reported Primary Contributing Cause

No improper driving6 (23.1%)-45.5%prior 11
Inattention4 (15.4%)-33.3%prior 6
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (15.4%)
Made an improper turn2 (7.7%)
Other improper action2 (7.7%)
Followed too closely1 (3.8%)
Operating defective equipment1 (3.8%)
Failed to yield right of way1 (3.8%)
Emotional1 (3.8%)
Glare1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 24 in September 2024 to 16 in September 2025, while 'Rain' condition crashes increased from 1 to 2. Similarly, crashes on 'Dry' road surfaces declined from 30 to 22, but those on 'Wet' surfaces rose from 3 to 4 year-over-year. Crashes in 'Daylight' conditions also decreased from 23 to 17.

Weather

Clear16 (61.5%)
-33.3%prior 24
Clear/Cloudy5 (19.2%)
0.0%prior 5
Rain2 (7.7%)
Cloudy/Clear1 (3.8%)
Other1 (3.8%)
Rain/Cloudy1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Weather condition at time of crash

Lighting

Daylight17 (65.4%)
-26.1%prior 23
Dark - lighted roadway7 (26.9%)
-22.2%prior 9
Dark - unknown roadway lighting1 (3.8%)
Dawn1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Lighting condition field

Road Surface

Dry22 (84.6%)
-26.7%prior 30
Wet4 (15.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (42 vehicles)

1
HONDA6 (14.3%)
-14.3%prior 7
2
CHEVROLET5 (11.9%)
3
TOYOTA5 (11.9%)
-58.3%prior 12
4
HYUNDAI4 (9.5%)
5
NISSAN3 (7.1%)
6
VOLVO3 (7.1%)
7
KIA2 (4.8%)
8
DODGE2 (4.8%)
9
GMC2 (4.8%)
10
SUBARU2 (4.8%)
-60.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records

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

Sex Distribution (50 persons with recorded sex)

Female27 (54.0%)
22.7%prior 22
Male23 (46.0%)
-32.4%prior 34

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones decreased significantly from 12 in September 2024 to 6 in September 2025. Similarly, crashes in 35 mph zones also saw a reduction, from 7 to 3 incidents. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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: 2025-09-01 through 2025-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-09-01 through 2025-09-30 (30 days)
  • Geographic scope: NORTH ADAMS, MA
  • Total crash records analyzed: 26
  • Total persons involved: 55
  • Total vehicles involved: 42

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). "NORTH ADAMS, MA Crash Intelligence Report: September 2025." Published June 21, 2026. Reporting period: 2025-09-01 to 2025-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/north-adams/september-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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North Adams, MA Crash Report — September 2025 | ThatCarHitMe.com