Monthly Traffic Safety Analysis

24 CRASHES IN
STONEHAM, MA
MARCH 2026

All metrics benchmarked againstMarch 2025

The total number of crashes in STONEHAM, MA remained stable at 24 in March 2026 compared to March 2025. However, total injuries increased by 37.5%, rising from 8 to 11. Notably, pedestrian crashes and injuries, which were zero in March 2025, appeared in March 2026 with 1 crash and 1 injured pedestrian.

24

Total Crash Events

0

Persons Killed

11

37.5%was 8

Persons Injured

0

-100.0%was 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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in March 2026 remained stable at 24 compared to March 2025, which also recorded 24 crashes. Fatalities remained at 0 in both periods. However, total injuries increased by 37.5%, rising from 8 in March 2025 to 11 in March 2026.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

10

Motorists Injured

Prior: 825.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

In March 2026, the peak day for crashes was Tuesday with 7 incidents, shifting from Friday with 4 incidents in March 2025. The peak hour also shifted from 5 PM with 4 crashes in March 2025 to 2 PM with 4 crashes in March 2026.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both March 2026 and March 2025. However, total injuries increased from 8 to 11 year-over-year. The proportion of crashes resulting in minor injuries (code B) rose from 8.3% to 20.8%, and possible injuries (code C) increased from 16.7% to 25%, while crashes with no injuries decreased from 70.8% to 50%.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes20.8%
150.0%prior 2
Possible Injury6possible injury crashes25%
50.0%prior 4
No Injury12no injury crashes50%
-29.4%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Most severe injury per crash record

Top Contributing Factors

Comparing contributing factors, "Followed too closely" decreased from 7 crashes in March 2025 to 4 crashes in March 2026, a 42.9% reduction in count. "Failed to yield right of way" decreased from 5 crashes to 1 crash, an 80% reduction in count. "No improper driving" remained stable at 3 crashes in both periods.

Officer-Reported Primary Contributing Cause

Followed too closely4 (16.7%)-42.9%prior 7
No improper driving3 (12.5%)
Disregarded traffic signs, signals, road markings2 (8.3%)
Failed to yield right of way1 (4.2%)-80.0%prior 5
Other improper action1 (4.2%)
Distracted1 (4.2%)
Inattention1 (4.2%)
Failure to keep in proper lane or running off road1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in adverse weather conditions increased significantly, from 2 in March 2025 to 10 in March 2026. Specifically, crashes in "Rain" conditions increased from 1 to 4, and "Snow" conditions appeared in March 2026 with 1 crash. Crashes on wet road surfaces also rose from 1 to 6 year-over-year.

Weather

Clear/Clear7 (29.2%)
-30.0%prior 10
Clear7 (29.2%)
-41.7%prior 12
Rain4 (16.7%)
Cloudy3 (12.5%)
Cloudy/Rain1 (4.2%)
Rain/Cloudy1 (4.2%)
Snow1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash

Lighting

Daylight19 (79.2%)
11.8%prior 17
Dark - lighted roadway4 (16.7%)
-33.3%prior 6
Dawn1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Lighting condition field

Road Surface

Dry17 (70.8%)
-26.1%prior 23
Wet6 (25.0%)
Snow1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (44 vehicles)

1
FORD7 (15.9%)
16.7%prior 6
2
HONDA6 (13.6%)
-33.3%prior 9
3
JEEP3 (6.8%)
4
SUBARU3 (6.8%)
5
TOYOTA3 (6.8%)
-70.0%prior 10
6
CHEVROLET3 (6.8%)
7
NISSAN3 (6.8%)
8
HYUNDAI2 (4.5%)
9
GMC2 (4.5%)
10
TESL2 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Vehicle unit records

Sex Distribution (52 persons with recorded sex)

Male30 (57.7%)
-21.1%prior 38
Female22 (42.3%)
46.7%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Person-level records linked to crash events

Speed Limit Zones

The number of crashes occurring in 25 MPH zones remained stable at 8 in both periods. Crashes in 30 MPH zones increased from 2 in March 2025 to 7 in March 2026, while those in 65 MPH zones slightly decreased from 8 to 7. There were no fatal crashes reported in any speed zone in either period.

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

Data Coverage

  • Reporting period: 2026-03-01 through 2026-03-31 (31 days)
  • Geographic scope: STONEHAM, MA
  • Total crash records analyzed: 24
  • Total persons involved: 52
  • Total vehicles involved: 44

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 2026." Published June 21, 2026. Reporting period: 2026-03-01 to 2026-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/stoneham/march-2026-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

Stoneham, MA Crash Report — March 2026 | ThatCarHitMe.com