Monthly Traffic Safety Analysis

26 CRASHES IN
STONEHAM, MA
JUNE 2023

All metrics benchmarked againstJune 2022

In June 2023, Stoneham experienced a decrease in total crashes, with 26 incidents compared to 31 in June 2022, marking a 16.1% reduction. The most notable year-over-year shift was a significant decline in total injuries, which fell by 72.7% from 11 injuries in the prior period to 3 in the current period. This indicates a general improvement in crash outcomes despite the overall reduction in incidents.

26

-16.1%was 31

Total Crash Events

0

Persons Killed

3

-72.7%was 11

Persons Injured

1

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash trends in Stoneham show a decrease year-over-year, with total crashes falling by 16.1% from 31 in June 2022 to 26 in June 2023. Total injuries also saw a substantial decline, dropping by 72.7% from 11 to 3. Fatalities remained at zero in both periods, indicating a stable trend in the most severe crash outcomes.

1

Hit-and-Run Crashes — June 2023

0.0% vs prior (1)

The number of hit-and-run crashes remained constant at 1 incident in both June 2022 and June 2023. However, due to a decrease in overall crashes, the hit-and-run rate increased slightly from 3.2% in June 2022 to 3.8% in June 2023.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 10.0%

2

Motorists Injured

Prior: 10-80.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted slightly between the periods; while Thursday remained a peak day with 8 crashes in both periods, Saturday's crash count decreased from 8 in June 2022 to 3 in June 2023. The peak hour remained 3 p.m., with 5 crashes in June 2023 compared to 4 in June 2022. Crashes on Friday increased from 3 to 7, while crashes on Wednesday decreased from 3 to 1.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities in either June 2022 or June 2023. Total injuries decreased significantly from 11 in June 2022 to 3 in June 2023, representing a 72.7% reduction. Serious injury crashes (severity 'A') decreased from 1 to 0, minor injury crashes (severity 'B') decreased from 6 to 2, and possible injury crashes (severity 'C') decreased from 4 to 1. The proportion of 'No Injury' crashes increased from 61.3% of total crashes in June 2022 to 88.5% in June 2023.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes7.7%
-66.7%prior 6
Possible Injury1possible injury crashes3.8%
-75.0%prior 4
No Injury23no injury crashes88.5%
21.1%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record

Top Contributing Factors

Among common contributing factors, crashes attributed to 'Followed too closely' decreased from 6 incidents in June 2022 to 3 in June 2023, a 50% reduction in count. 'Failed to yield right of way' crashes also saw a substantial decrease, from 6 to 2, representing a 66.7% reduction in count. Conversely, 'No improper driving' increased by 1 crash, from 7 to 8, while 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased from 1 to 2 incidents.

Officer-Reported Primary Contributing Cause

No improper driving8 (30.8%)14.3%prior 7
Followed too closely3 (11.5%)-50.0%prior 6
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.7%)
Other improper action2 (7.7%)
Failed to yield right of way2 (7.7%)-66.7%prior 6
Inattention1 (3.8%)
Failure to keep in proper lane or running off road1 (3.8%)
Driving too fast for conditions1 (3.8%)
Fatigued/asleep1 (3.8%)
Distracted1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in 'Clear' weather decreased from 21 incidents in June 2022 to 15 in June 2023, while crashes in 'Rain' increased from 1 to 5. Similarly, crashes on 'Dry' road surfaces decreased from 30 to 17, concurrent with an increase in 'Wet' road surface crashes from 1 to 9. The number of crashes occurring in 'Daylight' conditions remained relatively stable, decreasing slightly from 23 to 22, while crashes in 'Dark - lighted roadway' decreased from 5 to 2.

Weather

Clear15 (57.7%)
-28.6%prior 21
Rain5 (19.2%)
Clear/Clear2 (7.7%)
Rain/Sleet, hail (freezing rain or drizzle)1 (3.8%)
Cloudy1 (3.8%)
Clear/Cloudy1 (3.8%)
Cloudy/Rain1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash

Lighting

Daylight22 (84.6%)
-4.3%prior 23
Dark - lighted roadway2 (7.7%)
-60.0%prior 5
Dark - unknown roadway lighting1 (3.8%)
Dusk1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field

Road Surface

Dry17 (65.4%)
-43.3%prior 30
Wet9 (34.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 60 in June 2022 to 50 in June 2023. Among top vehicle makes, TOYOTA-involved crashes decreased from 10 to 5, while JEEP-involved crashes increased from 1 to 4. Regarding person age distribution, the 65+ age group saw an increase in representation from 6 persons in June 2022 to 11 in June 2023, while the 45-54 and 55-64 age groups both saw their representation decrease by 5 and 6 persons, respectively.

Top Vehicle Makes (50 vehicles)

1
FORD11 (22%)
10.0%prior 10
2
HONDA7 (14%)
0.0%prior 7
3
CHEVROLET6 (12%)
4
TOYOTA5 (10%)
-50.0%prior 10
5
JEEP4 (8%)
6
DODGE2 (4%)
7
MAZDA2 (4%)
8
MERCEDES-BENZ2 (4%)
9
NISSAN2 (4%)
-60.0%prior 5
10
VOLKSWAGEN1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records

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

Sex Distribution (60 persons with recorded sex)

Female32 (53.3%)
23.1%prior 26
Male28 (46.7%)
-28.2%prior 39

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones decreased from 12 in June 2022 to 9 in June 2023, and incidents in 30 mph zones also decreased from 7 to 2. Crashes in 35 mph zones saw a reduction from 5 to 3. Conversely, crashes in 65 mph zones increased from 5 incidents in June 2022 to 9 in June 2023. There were no fatal crashes reported in any speed limit zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-06-01 through 2023-06-30 (30 days)
  • Geographic scope: STONEHAM, MA
  • Total crash records analyzed: 26
  • Total persons involved: 63
  • 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). "STONEHAM, MA Crash Intelligence Report: June 2023." Published June 21, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/stoneham/june-2023-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 — June 2023 | ThatCarHitMe.com