Monthly Traffic Safety Analysis

33 CRASHES IN
NORTH ADAMS, MA
NOVEMBER 2022

All metrics benchmarked againstNovember 2021

Total crashes in NORTH ADAMS decreased by 8.33%, from 36 in November 2021 to 33 in November 2022. The most significant shift was a 50% reduction in total injuries, which fell from 10 to 5 year-over-year. DUI-related crashes also decreased by 50%, from 4 to 2.

33

▼ -8.3%was 36

Total Crash Events

0

Persons Killed

5

▼ -50.0%was 10

Persons Injured

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in NORTH ADAMS saw a decline of 8.33% from 36 crashes in November 2021 to 33 crashes in November 2022. This decrease was accompanied by a 50% reduction in total injuries, which fell from 10 to 5. Fatalities remained at zero in both periods.

2

Hit-and-Run Crashes — November 2022

6.1% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 0→0.0%

0

Motorists Killed

Prior: 0→0.0%

1

Cyclists Injured

Prior: 0→%

4

Motorists Injured

Prior: 10↓-60.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · 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 significantly year-over-year. In November 2021, the peak day for crashes was Monday with 9 incidents, but in November 2022, Wednesday became the peak day with 10 crashes. Similarly, the peak hour for crashes moved from 4 PM with 8 incidents in the prior period to 11 AM with 5 incidents in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total injuries decreased by 50%, from 10 in November 2021 to 5 in November 2022. There were no fatal crashes in either period. Serious injuries (Severity A) decreased from 1 in November 2021 to 0 in November 2022, while minor injuries (Severity B) decreased from 7 to 4.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes12.1%
↓-42.9%prior 7
No Injury26no injury crashes78.8%
↓-3.7%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to "No improper driving" remained stable at 16 in both periods. Crashes where "Inattention" was a factor increased by 1, from 4 to 5. Conversely, crashes involving "Other improper action" decreased by 3, from 5 to 2, and "Failed to yield right of way" decreased by 2, from 3 to 1.

Officer-Reported Primary Contributing Cause

No improper driving16 (48.5%)→0.0%prior 16
Inattention5 (15.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (9.1%)
Failure to keep in proper lane or running off road2 (6.1%)
Other improper action2 (6.1%)↓-60.0%prior 5
Failed to yield right of way1 (3%)
Followed too closely1 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions increased by 4, from 18 to 22, while "Rain" conditions saw a decrease of 1 crash, from 4 to 3. Regarding lighting, crashes in "Daylight" decreased by 6 (from 23 to 17), while crashes in "Dark - lighted roadway" increased by 7 (from 7 to 14). Crashes on "Wet" road surfaces decreased by 6, from 11 to 5.

Weather

Clear22 (66.7%)
↑22.2%prior 18
Clear/Cloudy3 (9.1%)
Rain3 (9.1%)
Cloudy1 (3.0%)
Clear/Unknown1 (3.0%)
Rain/Cloudy1 (3.0%)
Snow1 (3.0%)
Snow/Sleet, hail (freezing rain or drizzle)1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Weather condition at time of crash

Lighting

Daylight17 (51.5%)
↓-26.1%prior 23
Dark - lighted roadway14 (42.4%)
↑100.0%prior 7
Dark - roadway not lighted2 (6.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Lighting condition field

Road Surface

Dry26 (78.8%)
↑13.0%prior 23
Wet5 (15.2%)
↓-54.5%prior 11
Snow2 (6.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 63 in November 2021 to 52 in November 2022. Honda vehicles involved in crashes decreased by 6, from 11 to 5, while Chevrolet vehicles increased by 4, from 4 to 8. The 45-54 age group saw the largest decrease in persons involved, dropping from 15 to 4.

Top Vehicle Makes (52 vehicles)

1
CHEVROLET8 (15.4%)
2
FORD7 (13.5%)
↓-12.5%prior 8
3
HONDA5 (9.6%)
↓-54.5%prior 11
4
NISSAN4 (7.7%)
5
TOYOTA4 (7.7%)
↓-42.9%prior 7
6
HYUNDAI3 (5.8%)
↓-40.0%prior 5
7
CHRYSLER3 (5.8%)
8
SUBARU3 (5.8%)
↓-57.1%prior 7
9
GMC2 (3.8%)
10
JEEP2 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Vehicle unit records

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

Sex Distribution (53 persons with recorded sex)

Male28 (52.8%)
↓-30.0%prior 40
Female25 (47.2%)
↓-21.9%prior 32

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones decreased by 8, from 13 in November 2021 to 5 in November 2022. Conversely, crashes in 35 mph zones increased by 2, from 10 to 12, and crashes in 25 mph zones increased by 4, from 1 to 5. No fatal crashes were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · 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: 2022-11-01 through 2022-11-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-11-01 through 2022-11-30 (30 days)
  • Geographic scope: NORTH ADAMS, MA
  • Total crash records analyzed: 33
  • Total persons involved: 62
  • Total vehicles involved: 52

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: November 2022." Published June 21, 2026. Reporting period: 2022-11-01 to 2022-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/north-adams/november-2022-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 — November 2022 | ThatCarHitMe.com