Yearly Traffic Safety Analysis

330 CRASHES IN
NORTH ADAMS, MA
2024

All metrics benchmarked against2023

In North Adams, total traffic crashes increased by 3.8%, from 318 incidents in 2023 to 330 in 2024. While total injuries decreased, the most significant year-over-year change was the registration of one fatal crash in 2024, following a year with zero fatalities.

330

3.8%was 318

Total Crash Events

1

Persons Killed

68

-11.7%was 77

Persons Injured

18

28.6%was 14

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, traffic collisions in North Adams showed a slight upward trend, increasing from 318 in 2023 to 330 in 2024. Despite this increase in total crashes, the number of people injured in these incidents decreased by 11.7% from 77 to 68. The year was marked by one fatality, whereas none were recorded in the previous year.

18

Hit-and-Run Crashes — 2024

28.6% vs prior (14)

Hit-and-run crashes trended upward in 2024. The total count of hit-and-run incidents rose from 14 in 2023 to 18 in 2024, a 28.6% increase. Consequently, the hit-and-run rate as a percentage of all crashes also increased, from 4.4% in the prior year to 5.5% in the current year.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

0

Other Killed

Prior: 00.0%

4

Pedestrians Injured

Prior: 0%

63

Motorists Injured

Prior: 76-17.1%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes showed some consistency and some shifts between the two periods. Friday remained the peak day for crashes in both 2024 (65 crashes) and 2023 (59 crashes). However, the peak hour for collisions shifted an hour earlier, from 4 PM in 2023 (26 crashes) to 3 PM in 2024 (32 crashes).

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity worsened in 2024 with the occurrence of one fatal crash, accounting for 0.3% of all incidents, compared to zero fatal crashes in 2023. While crashes resulting in minor injuries decreased from 36 to 30, those causing serious injuries increased from 6 to 7. The overall proportion of crashes involving any level of reported injury (fatal, serious, minor, or possible) increased slightly from 15.1% to 15.8% of total crashes.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.3%
Serious Injury7serious injury crashes2.1%
16.7%prior 6
Minor Injury30minor injury crashes9.1%
-16.7%prior 36
Possible Injury14possible injury crashes4.2%
180.0%prior 5
No Injury268no injury crashes81.2%
3.5%prior 259

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record

Top Contributing Factors

The primary contributing factors remained stable, with "Inattention" (57 incidents in 2024 vs. 56 in 2023) and "Failed to yield right of way" (35 incidents vs. 30) as the leading driver-related causes in both years. A significant change was observed in crashes attributed to an "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner," which increased from 4 incidents in 2023 to 19 in 2024, a 375% increase in count. Conversely, crashes due to "Followed too closely" decreased from 23 to 18.

Officer-Reported Primary Contributing Cause

No improper driving95 (28.8%)2.2%prior 93
Inattention57 (17.3%)1.8%prior 56
Failed to yield right of way35 (10.6%)16.7%prior 30
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner19 (5.8%)
Followed too closely18 (5.5%)-21.7%prior 23
Other improper action18 (5.5%)-21.7%prior 23
Failure to keep in proper lane or running off road15 (4.5%)50.0%prior 10
Distracted13 (3.9%)-7.1%prior 14
Made an improper turn8 (2.4%)
Disregarded traffic signs, signals, road markings8 (2.4%)-20.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The majority of crashes in both 2024 and 2023 occurred in clear weather and on dry roads, with the proportion of crashes in daylight remaining identical at 75.2% year-over-year. There was a notable shift in crashes under adverse road surface conditions. Incidents on wet roads decreased from 51 to 33, while crashes on snowy roads more than doubled, increasing from 9 in 2023 to 19 in 2024.

Weather

Clear213 (65.5%)
-3.6%prior 221
Clear/Cloudy30 (9.2%)
57.9%prior 19
Cloudy25 (7.7%)
-3.8%prior 26
Snow12 (3.7%)
9.1%prior 11
Rain9 (2.8%)
-59.1%prior 22
Rain/Cloudy7 (2.2%)
Clear/Other5 (1.5%)
Sleet, hail (freezing rain or drizzle)4 (1.2%)
Cloudy/Rain3 (0.9%)
-50.0%prior 6
Clear/Unknown3 (0.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Daylight248 (76.1%)
3.8%prior 239
Dark - lighted roadway55 (16.9%)
3.8%prior 53
Dark - roadway not lighted11 (3.4%)
-8.3%prior 12
Dawn6 (1.8%)
0.0%prior 6
Other3 (0.9%)
Dusk2 (0.6%)
Dark - unknown roadway lighting1 (0.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry267 (81.7%)
5.5%prior 253
Wet33 (10.1%)
-35.3%prior 51
Snow19 (5.8%)
111.1%prior 9
Ice6 (1.8%)
Slush1 (0.3%)
Sand, mud, dirt, oil, gravel1 (0.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field

Vehicles & Demographics

The top three vehicle makes involved in crashes—Toyota, Chevrolet, and Ford—remained consistent across both years, with only minor fluctuations in their counts. An analysis of persons involved shows the 35-44 age group was the largest cohort in both 2024 (104 persons) and 2023 (115 persons). Notably, the number of persons in the 26-34 age group involved in crashes increased from 85 to 98 year-over-year.

Top Vehicle Makes (593 vehicles)

1
TOYOTA84 (14.2%)
-9.7%prior 93
2
FORD62 (10.5%)
10.7%prior 56
3
CHEVROLET62 (10.5%)
3.3%prior 60
4
HONDA57 (9.6%)
16.3%prior 49
5
SUBARU43 (7.3%)
-8.5%prior 47
6
JEEP40 (6.7%)
33.3%prior 30
7
HYUNDAI31 (5.2%)
24.0%prior 25
8
NISSAN26 (4.4%)
-33.3%prior 39
9
GMC25 (4.2%)
19.0%prior 21
10
DODGE17 (2.9%)
-26.1%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records

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

Sex Distribution (601 persons with recorded sex)

Male350 (58.2%)
18.6%prior 295
Female251 (41.8%)
-16.6%prior 301

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events

Speed Limit Zones

The 30 mph speed zone continued to be the most frequent location for crashes, with incidents increasing from 106 in 2023 to 117 in 2024. Crashes in the second-most common zone, 35 mph, saw a decrease from 85 to 77. The single fatal crash recorded in 2024 occurred within a 35 mph zone.

Fatal crashes by zone: 35 mph: 1 of 77 (1.299%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: NORTH ADAMS, MA
  • Total crash records analyzed: 330
  • Total persons involved: 713
  • Total vehicles involved: 593

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: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/north-adams/2024-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 — 2024 | ThatCarHitMe.com