Monthly Traffic Safety Analysis

25 CRASHES IN
NORTH ADAMS, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, NORTH ADAMS experienced 25 total crashes, a decrease of 16.67% compared to 30 crashes in May 2024. The most notable shift was a 100% increase in hit-and-run crashes, rising from 2 to 4.

25

-16.7%was 30

Total Crash Events

0

Persons Killed

2

-33.3%was 3

Persons Injured

4

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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in NORTH ADAMS decreased by 16.67% year-over-year, from 30 crashes in May 2024 to 25 crashes in May 2025. Total injuries also fell by 33.33%, from 3 injuries to 2, indicating a positive trend in crash and injury reduction. Fatalities remained at 0 in both periods.

4

Hit-and-Run Crashes — May 2025

100.0% vs prior (2)

The number of hit-and-run crashes increased by 100% year-over-year, rising from 2 in May 2024 to 4 in May 2025. Consequently, the hit-and-run rate also increased from 6.7% to 16% of all crashes.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 3-33.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Friday (8 crashes) in May 2024 to Tuesday, Wednesday, and Friday (5 crashes each) in May 2025. The peak hour also changed, moving from 4 PM with 6 crashes in May 2024 to 6 PM with 3 crashes in May 2025. Crashes on Monday decreased from 5 to 1, while crashes on Tuesday increased from 2 to 5.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both May 2024 and May 2025. Total injuries decreased from 3 in May 2024 to 2 in May 2025. While minor injury crashes decreased in proportion from 6.7% to 4%, a serious injury crash (4% of total crashes) was reported in May 2025, which was not present in May 2024.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4%
Minor Injury1minor injury crashes4%
-50.0%prior 2
No Injury21no injury crashes84%
-25.0%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Inattention' saw a significant decrease, falling by 62.5% from 8 crashes in May 2024 to 3 crashes in May 2025. The count of 'No improper driving' crashes remained constant at 8 in both periods, though its share of total crashes increased from 26.7% to 32% due to the overall reduction in crashes. 'Distracted' driving was a factor in 2 crashes in May 2025, a factor not among the top contributing factors in May 2024.

Officer-Reported Primary Contributing Cause

No improper driving8 (32%)0.0%prior 8
Failed to yield right of way3 (12%)
Inattention3 (12%)-62.5%prior 8
Distracted2 (8%)
Physical impairment1 (4%)
Wrong side or wrong way1 (4%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in 'Clear' weather decreased from 60% (18 crashes) in May 2024 to 52% (13 crashes) in May 2025. Crashes in 'Wet' road conditions increased from 3 in May 2024 to 6 in May 2025, while crashes on 'Dry' roads decreased from 26 to 18. Additionally, the proportion of crashes occurring in 'Daylight' conditions decreased from 96.7% (29 crashes) to 80% (20 crashes), with 'Dark - lighted roadway' crashes increasing from 1 to 3.

Weather

Clear13 (54.2%)
-27.8%prior 18
Rain4 (16.7%)
Cloudy3 (12.5%)
Clear/Cloudy2 (8.3%)
-75.0%prior 8
Cloudy/Rain1 (4.2%)
Rain/Cloudy1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash

Lighting

Daylight20 (83.3%)
-31.0%prior 29
Dark - lighted roadway3 (12.5%)
Dark - roadway not lighted1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Lighting condition field

Road Surface

Dry18 (75.0%)
-30.8%prior 26
Wet6 (25.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (44 vehicles)

1
FORD7 (15.9%)
16.7%prior 6
2
TOYOTA6 (13.6%)
-33.3%prior 9
3
CHEVROLET5 (11.4%)
-16.7%prior 6
4
JEEP3 (6.8%)
-40.0%prior 5
5
HONDA3 (6.8%)
6
SUBARU3 (6.8%)
7
NISSAN2 (4.5%)
8
HYUNDAI2 (4.5%)
9
VOLKSWAGEN1 (2.3%)
10
DODGE1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records

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

Sex Distribution (43 persons with recorded sex)

Female23 (53.5%)
-8.0%prior 25
Male20 (46.5%)
-31.0%prior 29

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone increased from 8 in May 2024 to 10 in May 2025, while crashes in the 35 mph zone decreased from 5 to 2. Crashes at 5 mph and 10 mph zones both increased, from 2 to 3 and 1 to 3 respectively. Notably, a crash in the 50 mph zone was reported in May 2025, a speed zone not listed in the prior period's data, and no fatalities occurred in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-05-01 through 2025-05-31 (31 days)
  • Geographic scope: NORTH ADAMS, MA
  • Total crash records analyzed: 25
  • Total persons involved: 54
  • Total vehicles involved: 44

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: May 2025." Published June 21, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/north-adams/may-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 — May 2025 | ThatCarHitMe.com