Monthly Traffic Safety Analysis

34 CRASHES IN
NORWELL, MA
JUNE 2025

All metrics benchmarked againstJune 2024

In NORWELL, MA, total crashes increased by 17.24%, rising from 29 in June 2024 to 34 in June 2025. Concurrently, total injuries saw a substantial increase of 57.14%, going from 7 to 11. Fatalities remained at zero in both periods, indicating no change in the most severe crash outcomes.

34

17.2%was 29

Total Crash Events

0

Persons Killed

11

57.1%was 7

Persons Injured

0

Fatal Crash Events

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 · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in NORWELL, MA shows an upward trend year-over-year, with total crashes increasing from 29 to 34, a rise of 17.24%. This increase was accompanied by a significant 57.14% rise in total injuries, from 7 to 11, while fatalities remained unchanged at zero.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

11

Motorists Injured

Prior: 683.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Wednesday remained the day with the highest crash count, though it decreased from 7 crashes in June 2024 to 6 crashes in June 2025. The peak hour for crashes shifted from 8 AM with 4 crashes in the prior period to 4 PM with 6 crashes in the current period. Additionally, crashes on Monday increased from 4 to 6, and on Friday from 2 to 5.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both June 2024 and June 2025. The number of minor injuries increased from 3 to 8, and possible injuries rose from 1 to 2. The proportion of crashes resulting in no injury decreased from 86.2% in June 2024 to 67.6% in June 2025.

Outcome by Severity (Crash Events)

Minor Injury8minor injury crashes23.5%
166.7%prior 3
Possible Injury2possible injury crashes5.9%
100.0%prior 1
No Injury23no injury crashes67.6%
-8.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record

Top Contributing Factors

"No improper driving" remained the most frequent contributing factor, increasing slightly from 11 crashes to 12 crashes. "Failure to keep in proper lane or running off road" increased significantly from 2 crashes to 5 crashes, while "Followed too closely" also saw an increase from 1 crash to 4 crashes. These shifts indicate changes in the leading causes of crashes year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving12 (35.3%)9.1%prior 11
Failure to keep in proper lane or running off road5 (14.7%)
Followed too closely4 (11.8%)
Inattention2 (5.9%)
Distracted2 (5.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (5.9%)
Exceeded authorized speed limit1 (2.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (2.9%)
Visibility obstructed1 (2.9%)
Failed to yield right of way1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather conditions were associated with the majority of crashes in both periods, accounting for 27 crashes in June 2024 and 29 crashes in June 2025. Crashes occurring in dark conditions (roadway not lighted or lighted) increased from 4 to 8. The number of crashes on dry road surfaces increased from 27 to 33, while crashes on wet surfaces decreased from 2 to 1.

Weather

Clear22 (64.7%)
-18.5%prior 27
Clear/Clear7 (20.6%)
Cloudy4 (11.8%)
Rain/Fog, smog, smoke1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash

Lighting

Daylight25 (73.5%)
4.2%prior 24
Dark - roadway not lighted5 (14.7%)
Dark - lighted roadway3 (8.8%)
Dusk1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field

Road Surface

Dry33 (97.1%)
22.2%prior 27
Wet1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes decreased from 69 in June 2024 to 55 in June 2025. Notably, the 35-44 age group saw a decrease from 14 persons to 7 persons involved, and the 65+ age group decreased from 12 to 8. Toyota became the top vehicle make involved, increasing from 6 vehicles to 10, while Jeep, the top make in the prior period, was not among the top makes in the current period.

Top Vehicle Makes (50 vehicles)

1
TOYOTA10 (20%)
66.7%prior 6
2
CHEVROLET5 (10%)
-28.6%prior 7
3
FORD4 (8%)
-42.9%prior 7
4
NISSAN3 (6%)
5
VOLKSWAGEN3 (6%)
6
LEXUS3 (6%)
7
HYUNDAI3 (6%)
8
AUDI2 (4%)
9
MAZDA2 (4%)
10
HONDA2 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records

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

Sex Distribution (54 persons with recorded sex)

Male28 (51.9%)
-22.2%prior 36
Female26 (48.1%)
-13.3%prior 30

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 60 MPH speed zones increased from 11 in June 2024 to 12 in June 2025. Crashes in 25 MPH zones saw a notable increase from 1 to 7, while those in 30 MPH zones decreased from 5 to 2. Fatalities remained at 0 across all speed zones in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-06-01 through 2025-06-30 (30 days)
  • Geographic scope: NORWELL, MA
  • Total crash records analyzed: 34
  • Total persons involved: 55
  • Total vehicles involved: 50

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). "NORWELL, MA Crash Intelligence Report: June 2025." Published June 21, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/norwell/june-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

ThatCarHitMe.com · An Injuria.ai Company

Norwell, MA Crash Report — June 2025 | ThatCarHitMe.com