Monthly Traffic Safety Analysis

39 CRASHES IN
BEVERLY, MA
JUNE 2025

All metrics benchmarked againstJune 2024

In June 2025, Beverly, MA experienced 39 total crashes, a 22% decrease compared to the 50 crashes reported in June 2024. The most notable year-over-year shift was a 66.7% reduction in DUI-related crashes, decreasing from 3 to 1.

39

▼ -22.0%was 50

Total Crash Events

0

Persons Killed

13

▼ -13.3%was 15

Persons Injured

5

▲ 25.0%was 4

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. 2 crashes with unreported severity are 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 Beverly, MA decreased year-over-year from June 2024 to June 2025. Total crashes declined by 22%, from 50 to 39, while total injuries also decreased by 13.3%, from 15 to 13.

5

Hit-and-Run Crashes — June 2025

▲ 25.0% vs prior (4)

Hit-and-run crashes increased by 1 incident, rising from 4 in June 2024 to 5 in June 2025. This resulted in an increase in the hit-and-run rate from 8% to 12.8% year-over-year.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

0

Motorists Killed

Prior: 0→0.0%

1

Pedestrians Injured

Prior: 0→%

12

Motorists Injured

Prior: 15↓-20.0%

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

The peak day for crashes shifted from Wednesday in June 2024 (11 crashes) to Monday in June 2025 (13 crashes). The peak hour also changed, moving from 3 PM with 8 crashes in the prior period to 2 PM with 5 crashes in the current period.

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

Fatalities remained at 0 in both June 2024 and June 2025. Serious injury crashes remained constant at 1 in both periods, while minor injury crashes increased from 3 to 5. Possible injury crashes saw a significant decrease, falling from 9 in June 2024 to 2 in June 2025.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.6%
→0.0%prior 1
Minor Injury5minor injury crashes12.8%
↑66.7%prior 3
Possible Injury2possible injury crashes5.1%
↓-77.8%prior 9
No Injury29no injury crashes74.4%
↓-19.4%prior 36

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

The leading contributing factor, 'No improper driving,' decreased by 42.9%, from 14 crashes in June 2024 to 8 in June 2025. 'Inattention' crashes increased by 75%, from 4 to 7, while 'Failed to yield right of way' crashes decreased by 75%, from 12 to 3.

Officer-Reported Primary Contributing Cause

No improper driving8 (20.5%)↓-42.9%prior 14
Inattention7 (17.9%)
Failed to yield right of way3 (7.7%)↓-75.0%prior 12
Failure to keep in proper lane or running off road3 (7.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (5.1%)
Over-correcting/over-steering2 (5.1%)
Visibility obstructed2 (5.1%)
Operating defective equipment1 (2.6%)
Followed too closely1 (2.6%)↓-80.0%prior 5
Other improper action1 (2.6%)

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

Crashes occurring in 'Clear' weather conditions decreased from 40 in June 2024 to 23 in June 2025. Similarly, crashes during 'Daylight' conditions decreased from 48 to 34. The number of crashes on 'Wet' road surfaces remained stable at 3 in both periods.

Weather

Clear23 (59.0%)
↓-42.5%prior 40
Clear/Unknown4 (10.3%)
Cloudy3 (7.7%)
Clear/Other2 (5.1%)
Clear/Cloudy2 (5.1%)
Clear/Clear1 (2.6%)
Cloudy/Rain1 (2.6%)
Other1 (2.6%)
Rain1 (2.6%)
Unknown/Other1 (2.6%)

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

Lighting

Daylight34 (89.5%)
↓-29.2%prior 48
Dark - lighted roadway3 (7.9%)
Other1 (2.6%)

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

Road Surface

Dry35 (92.1%)
↓-25.5%prior 47
Wet3 (7.9%)

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 vehicles involved in crashes decreased from 93 in June 2024 to 73 in June 2025, with the total number of persons involved decreasing from 122 to 86. Toyota became the most frequently involved vehicle make in June 2025 with 17 vehicles, surpassing Honda which decreased from 15 to 8 vehicles.

Top Vehicle Makes (73 vehicles)

1
TOYOTA17 (23.3%)
↑54.5%prior 11
2
HONDA8 (11%)
↓-46.7%prior 15
3
CHEVROLET8 (11%)
4
NISSAN6 (8.2%)
5
JEEP5 (6.8%)
↓-37.5%prior 8
6
FORD4 (5.5%)
↓-60.0%prior 10
7
VOLKSWAGEN3 (4.1%)
8
HYUNDAI3 (4.1%)
9
SUBARU3 (4.1%)
↓-70.0%prior 10
10
DODGE2 (2.7%)

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

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

Sex Distribution (67 persons with recorded sex)

Male40 (59.7%)
↓-34.4%prior 61
Female27 (40.3%)
↓-50.0%prior 54

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

No fatalities were recorded in any speed zone during either period. Crashes occurring in 25 mph zones decreased from 26 in June 2024 to 22 in June 2025. Conversely, crashes in 30 mph zones increased from 3 to 7 over the same period.

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: BEVERLY, MA
  • Total crash records analyzed: 39
  • Total persons involved: 86
  • Total vehicles involved: 73

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). "BEVERLY, 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/beverly/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

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