Yearly Traffic Safety Analysis

325 CRASHES IN
NORTH ADAMS, MA
2025

All metrics benchmarked against2024

In 2025, North Adams recorded 325 total traffic crashes, a 1.5% decrease from the 330 crashes reported in 2024. While overall crashes and injuries declined, the number of hit-and-run incidents increased by 33.3% year-over-year, from 18 to 24.

325

-1.5%was 330

Total Crash Events

1

Persons Killed

61

-10.3%was 68

Persons Injured

24

33.3%was 18

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 13 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, traffic crashes in North Adams showed a slight decline in 2025 compared to the previous year. The total number of crashes decreased by 1.5% from 330 to 325, and total injuries fell by 10.3% from 68 to 61. The number of fatalities remained unchanged at one death in both periods.

24

Hit-and-Run Crashes — 2025

33.3% vs prior (18)

Hit-and-run crashes increased in 2025 compared to the prior year. The total number of hit-and-run incidents rose from 18 to 24, representing a 33.3% increase in count. The hit-and-run rate, which measures the proportion of total crashes that were hit-and-runs, also trended upward, increasing from 5.5% in 2024 to 7.4% in 2025.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

1

Motorists Killed

Prior: 10.0%

2

Pedestrians Injured

Prior: 4-50.0%

2

Cyclists Injured

Prior: 0%

57

Motorists Injured

Prior: 63-9.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes saw some shifts between 2024 and 2025. While the peak hour for crashes remained consistent at 3 p.m. in both years, the peak day changed from Friday (65 crashes) in 2024 to Thursday (56 crashes) in 2025. Crashes on Thursdays increased from 44 to 56, while incidents on Fridays decreased from 65 to 49.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes remained relatively stable year-over-year. One fatal crash occurred in both 2025 and 2024, though the fatal crash rate per 100 crashes increased slightly from 0.30 to 0.31. The number of crashes resulting in serious injury decreased from 7 to 6, and the proportion of crashes with no reported injuries was identical in both periods at 81.2%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.3%
0.0%prior 1
Serious Injury6serious injury crashes1.8%
-14.3%prior 7
Minor Injury32minor injury crashes9.8%
6.7%prior 30
Possible Injury9possible injury crashes2.8%
-35.7%prior 14
No Injury264no injury crashes81.2%
-1.5%prior 268

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors cited in crashes remained consistent, with 'No improper driving' and 'Inattention' as the top two in both years. However, the count for 'Failed to yield right of way' as a factor dropped by 34.3%, from 35 incidents in 2024 to 23 in 2025. Conversely, the count for 'Followed too closely' increased from 18 to 22, representing a 22.2% increase in count.

Officer-Reported Primary Contributing Cause

No improper driving102 (31.4%)7.4%prior 95
Inattention55 (16.9%)-3.5%prior 57
Failed to yield right of way23 (7.1%)-34.3%prior 35
Followed too closely22 (6.8%)22.2%prior 18
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner21 (6.5%)10.5%prior 19
Other improper action16 (4.9%)-11.1%prior 18
Failure to keep in proper lane or running off road12 (3.7%)-20.0%prior 15
Disregarded traffic signs, signals, road markings10 (3.1%)25.0%prior 8
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway7 (2.2%)
Over-correcting/over-steering6 (1.8%)0.0%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

While most crashes in both years occurred in clear weather on dry roads, there was a shift towards more crashes in adverse conditions in 2025. The number of crashes on icy roads increased from 6 to 17, and crashes on wet roads rose from 33 to 38. Correspondingly, the share of crashes on dry roads decreased from 80.9% in 2024 to 75.4% in 2025. Crashes in darkness on lighted roadways also increased from 55 to 64.

Weather

Clear190 (58.8%)
-10.8%prior 213
Cloudy32 (9.9%)
28.0%prior 25
Clear/Cloudy28 (8.7%)
-6.7%prior 30
Rain15 (4.6%)
66.7%prior 9
Clear/Other12 (3.7%)
140.0%prior 5
Snow8 (2.5%)
-33.3%prior 12
Snow/Blowing sand, snow7 (2.2%)
Rain/Cloudy5 (1.5%)
-28.6%prior 7
Cloudy/Snow3 (0.9%)
Snow/Sleet, hail (freezing rain or drizzle)3 (0.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight235 (72.5%)
-5.2%prior 248
Dark - lighted roadway64 (19.8%)
16.4%prior 55
Dark - roadway not lighted12 (3.7%)
9.1%prior 11
Dusk9 (2.8%)
Dawn3 (0.9%)
-50.0%prior 6
Dark - unknown roadway lighting1 (0.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry245 (75.9%)
-8.2%prior 267
Wet38 (11.8%)
15.2%prior 33
Snow21 (6.5%)
10.5%prior 19
Ice17 (5.3%)
183.3%prior 6
Slush2 (0.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

The top vehicle makes involved in crashes remained largely the same, with Toyota, Honda, Ford, and Chevrolet leading in both years. In 2025, Honda moved up to the second-most common make with 66 vehicles involved, up from 57 in 2024. Analysis of persons involved shows a notable increase in the 0-15 age group, which grew from 25 individuals in 2024 to 43 in 2025.

Top Vehicle Makes (566 vehicles)

1
TOYOTA84 (14.8%)
0.0%prior 84
2
HONDA66 (11.7%)
15.8%prior 57
3
FORD59 (10.4%)
-4.8%prior 62
4
CHEVROLET53 (9.4%)
-14.5%prior 62
5
SUBARU52 (9.2%)
20.9%prior 43
6
HYUNDAI33 (5.8%)
6.5%prior 31
7
JEEP29 (5.1%)
-27.5%prior 40
8
DODGE20 (3.5%)
17.6%prior 17
9
GMC20 (3.5%)
-20.0%prior 25
10
NISSAN19 (3.4%)
-26.9%prior 26

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records

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

Sex Distribution (620 persons with recorded sex)

Male331 (53.4%)
-5.4%prior 350
Female289 (46.6%)
15.1%prior 251

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events

Speed Limit Zones

Analysis of crashes by posted speed limit shows a shift from 2024 to 2025. Crashes in 30 mph zones decreased from 117 to 102, and those in 35 mph zones fell from 77 to 67. Conversely, incidents in lower speed zones, such as 5 mph (22 to 28) and 25 mph (40 to 43), saw increases. The single fatal crash in each year both occurred in a 35 mph zone.

Fatal crashes by zone: 35 mph: 1 of 67 (1.493%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: NORTH ADAMS, MA
  • Total crash records analyzed: 325
  • Total persons involved: 711
  • Total vehicles involved: 566

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: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/north-adams/2025-annual-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 — 2025 | ThatCarHitMe.com