Monthly Traffic Safety Analysis

24 CRASHES IN
STONEHAM, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

In March 2025, STONEHAM, MA experienced 24 total crashes, a decrease of 33.3% compared to the 36 crashes reported in March 2024. Total injuries also saw a significant decline, falling by 52.9% from 17 to 8. Fatalities remained at zero for both periods.

24

-33.3%was 36

Total Crash Events

0

Persons Killed

8

-52.9%was 17

Persons Injured

2

-33.3%was 3

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in STONEHAM, MA showed a notable downward trend year-over-year. Total crashes decreased by 33.3%, dropping from 36 in March 2024 to 24 in March 2025. This reduction indicates a significant improvement in traffic safety for the period.

2

Hit-and-Run Crashes — March 2025

-33.3% vs prior (3)

Hit-and-run crashes decreased from 3 in March 2024 to 2 in March 2025. Despite this reduction in count, the hit-and-run rate remained stable at 8.3% in both periods. This indicates that while total incidents declined, their proportion relative to all crashes did not change.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 17-52.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Friday in both periods, though the count decreased from 10 in March 2024 to 4 in March 2025. The peak hour shifted from 2 PM with 6 crashes in the prior period to 5 PM with 4 crashes in the current period. This suggests a change in the most crash-prone time of day.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities in either March 2024 or March 2025. Total injuries decreased from 17 in the prior period to 8 in the current period. Serious injuries (severity A) were reported in March 2024 with 1 crash (2.8%), but were absent in March 2025.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes8.3%
-71.4%prior 7
Possible Injury4possible injury crashes16.7%
-20.0%prior 5
No Injury17no injury crashes70.8%
-26.1%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor shifted from 'No improper driving' (7 crashes) in March 2024 to 'Followed too closely' (7 crashes) in March 2025. Crashes attributed to 'No improper driving' decreased by 4, from 7 to 3. 'Failed to yield right of way' remained constant at 5 crashes in both periods.

Officer-Reported Primary Contributing Cause

Followed too closely7 (29.2%)16.7%prior 6
Failed to yield right of way5 (20.8%)0.0%prior 5
No improper driving3 (12.5%)-57.1%prior 7
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (8.3%)
Inattention1 (4.2%)
Visibility obstructed1 (4.2%)
Illness1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes on wet road surfaces significantly decreased from 10 in March 2024 to 1 in March 2025. Similarly, crashes during rainy weather conditions dropped from 10 in the prior period to 1 in the current period. Daylight crashes decreased from 29 to 17, while crashes in dark-lighted roadway decreased from 7 to 6.

Weather

Clear12 (50.0%)
-33.3%prior 18
Clear/Clear10 (41.7%)
100.0%prior 5
Cloudy/Cloudy1 (4.2%)
Rain/Rain1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash

Lighting

Daylight17 (70.8%)
-41.4%prior 29
Dark - lighted roadway6 (25.0%)
-14.3%prior 7
Dark - unknown roadway lighting1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field

Road Surface

Dry23 (95.8%)
-11.5%prior 26
Wet1 (4.2%)
-90.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased by 27.1%, from 70 in March 2024 to 51 in March 2025. The most common vehicle make involved in crashes, TOYOTA, saw its count decrease from 17 to 10. The 65+ age group experienced a decrease in persons involved in crashes, from 11 in the prior period to 4 in the current period.

Top Vehicle Makes (51 vehicles)

1
TOYOTA10 (19.6%)
-41.2%prior 17
2
HONDA9 (17.6%)
12.5%prior 8
3
FORD6 (11.8%)
4
NISSAN2 (3.9%)
-60.0%prior 5
5
GMC2 (3.9%)
6
HYUNDAI2 (3.9%)
7
AUDI2 (3.9%)
8
MERCEDES-BENZ2 (3.9%)
9
CHEVROLET2 (3.9%)
10
MAZDA1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records

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

Sex Distribution (53 persons with recorded sex)

Male38 (71.7%)
2.7%prior 37
Female15 (28.3%)
-63.4%prior 41

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes at 25 mph decreased from 14 in March 2024 to 8 in March 2025, and crashes at 65 mph also decreased from 12 to 8. Crashes at 30 mph and 35 mph both saw a reduction from 4 to 2. No fatal crashes were reported across any speed zones in either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-03-01 through 2025-03-31 (31 days)
  • Geographic scope: STONEHAM, MA
  • Total crash records analyzed: 24
  • Total persons involved: 56
  • Total vehicles involved: 51

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). "STONEHAM, MA Crash Intelligence Report: March 2025." Published June 21, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/stoneham/march-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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Stoneham, MA Crash Report — March 2025 | ThatCarHitMe.com