Monthly Traffic Safety Analysis

44 CRASHES IN
EVERETT, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, there were 44 total crashes in EVERETT, MA, a 46.7% increase from the 30 crashes recorded in July 2024. Total injuries also rose by 76.9%, from 13 to 23. The most notable year-over-year shift was a 150% increase in hit-and-run crashes, rising from 2 to 5.

44

46.7%was 30

Total Crash Events

0

Persons Killed

23

76.9%was 13

Persons Injured

5

150.0%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. 6 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a significant increase in crash activity year-over-year. Total crashes rose from 30 in July 2024 to 44 in July 2025, marking a 46.7% increase. Concurrently, total injuries increased by 76.9%, from 13 to 23, while fatalities remained at zero in both periods.

5

Hit-and-Run Crashes — July 2025

150.0% vs prior (2)

Hit-and-run crashes increased from 2 in July 2024 to 5 in July 2025, marking a 150% increase in count. The hit-and-run rate also rose from 6.7% of total crashes in July 2024 to 11.4% in July 2025, indicating an upward trend in these incidents.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

22

Motorists Injured

Prior: 1369.2%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak crash days in July 2025 were Wednesday and Thursday, each with 11 crashes, compared to Thursday being the sole peak day with 8 crashes in July 2024. The peak crash hour shifted from 7 PM with 3 crashes in July 2024 to 5 PM with 5 crashes in July 2025, indicating a change in the timing of peak crash activity.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero for both July 2024 and July 2025. Minor injury crashes increased from 7 (23.3% share of crashes) in July 2024 to 13 (29.5% share of crashes) in July 2025. Possible injury crashes remained constant at 3, but their proportion decreased from a 10% share to a 6.8% share of total crashes.

Outcome by Severity (Crash Events)

Minor Injury13minor injury crashes29.5%
85.7%prior 7
Possible Injury3possible injury crashes6.8%
0.0%prior 3
No Injury22no injury crashes50%
15.8%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Failed to yield right of way' saw a substantial increase, rising from 1 crash in July 2024 to 5 crashes in July 2025, a 400% increase in count. Conversely, 'Followed too closely' decreased from 5 crashes to 2 crashes, a 60% decrease in count. 'No improper driving' also increased from 4 crashes to 5 crashes year-over-year.

Officer-Reported Primary Contributing Cause

Failed to yield right of way5 (11.4%)
No improper driving5 (11.4%)
Other improper action4 (9.1%)
Made an improper turn2 (4.5%)
Failure to keep in proper lane or running off road2 (4.5%)
Followed too closely2 (4.5%)-60.0%prior 5
Disregarded traffic signs, signals, road markings1 (2.3%)
Inattention1 (2.3%)
Operating defective equipment1 (2.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 27 in July 2024 to 37 in July 2025. Crashes on wet road surfaces saw an increase from 2 in July 2024 to 8 in July 2025. Daylight crashes increased from 22 to 30, and crashes in dark-lighted roadway conditions rose from 7 to 10.

Weather

Clear/Clear34 (77.3%)
277.8%prior 9
Clear3 (6.8%)
-83.3%prior 18
Rain/Rain3 (6.8%)
Rain/Cloudy2 (4.5%)
Cloudy/Cloudy1 (2.3%)
Rain1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight30 (69.8%)
36.4%prior 22
Dark - lighted roadway10 (23.3%)
42.9%prior 7
Dusk2 (4.7%)
Dawn1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Road Surface

Dry36 (81.8%)
28.6%prior 28
Wet8 (18.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 58 in July 2024 to 95 in July 2025. Honda vehicles involved in crashes significantly increased from 7 to 24, becoming the top make in July 2025. Toyota also saw an increase in involvement from 17 to 20 vehicles, while Ford increased from 5 to 7.

Top Vehicle Makes (95 vehicles)

1
HONDA24 (25.3%)
242.9%prior 7
2
TOYOTA20 (21.1%)
17.6%prior 17
3
CHEVROLET7 (7.4%)
4
FORD7 (7.4%)
40.0%prior 5
5
MAZDA6 (6.3%)
6
JEEP2 (2.1%)
7
KIA2 (2.1%)
8
LEXUS2 (2.1%)
9
MERCEDES-BENZ2 (2.1%)
10
NISSAN2 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

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

Sex Distribution (94 persons with recorded sex)

Male63 (67.0%)
61.5%prior 39
Female31 (33.0%)
14.8%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph speed zones increased from 16 in July 2024 to 30 in July 2025. Conversely, crashes in 35 mph zones decreased from 11 to 9 year-over-year. There were no fatal crashes reported in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: EVERETT, MA
  • Total crash records analyzed: 44
  • Total persons involved: 115
  • Total vehicles involved: 95

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). "EVERETT, MA Crash Intelligence Report: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/everett/july-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

Everett, MA Crash Report — July 2025 | ThatCarHitMe.com