Monthly Traffic Safety Analysis

41 CRASHES IN
DRACUT, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, Dracut recorded 41 total crashes, a slight decrease from the 42 crashes reported in July 2024, representing a 2.38% reduction. The most notable shift was in DUI crashes, which increased from 0 in July 2024 to 2 in July 2025.

41

-2.4%was 42

Total Crash Events

0

Persons Killed

13

18.2%was 11

Persons Injured

1

-66.7%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. 2 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

Overall, the total number of crashes in Dracut saw a minor decrease of 2.38% year-over-year, from 42 crashes in July 2024 to 41 crashes in July 2025. Despite this, total injuries increased by 18.18%, from 11 in July 2024 to 13 in July 2025, while fatalities remained at 0 in both periods.

1

Hit-and-Run Crashes — July 2025

-66.7% vs prior (3)

Hit-and-run crashes decreased significantly from 3 in July 2024 to 1 in July 2025, representing a 66.7% reduction. Consequently, the hit-and-run rate decreased from 7.1% in the prior period to 2.4% in the current period, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

13

Motorists Injured

Prior: 1030.0%

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 day for crashes shifted from Sunday and Wednesday in July 2024, each with 8 crashes, to Monday, Wednesday, and Thursday in July 2025, each recording 10 crashes. The peak hour remained 10 p.m. in both periods, increasing from 4 crashes in July 2024 to 5 crashes in July 2025.

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

Total fatalities remained at 0 in both July 2024 and July 2025. Serious injury crashes (severity A) remained constant at 1 crash (2.4% of total crashes) in both periods, while minor injury crashes (severity B) increased from 6 (14.3% share) to 7 (17.1% share). The prior period also recorded 3 possible injury crashes (severity C), which were not present in the current period.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.4%
0.0%prior 1
Minor Injury7minor injury crashes17.1%
16.7%prior 6
No Injury31no injury crashes75.6%
3.3%prior 30

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

Crashes attributed to 'No improper driving' increased from 10 in July 2024 to 12 in July 2025, a 20% count increase. 'Inattention' crashes increased from 4 to 6, a 50% count increase, while 'Failed to yield right of way' crashes decreased from 6 to 4, a 33.3% count decrease. 'Failure to keep in proper lane or running off road' crashes increased from 1 to 4.

Officer-Reported Primary Contributing Cause

No improper driving12 (29.3%)20.0%prior 10
Inattention6 (14.6%)
Failure to keep in proper lane or running off road4 (9.8%)
Failed to yield right of way4 (9.8%)-33.3%prior 6
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (7.3%)
Other improper action2 (4.9%)
Made an improper turn1 (2.4%)
Distracted1 (2.4%)
Followed too closely1 (2.4%)
Disregarded traffic signs, signals, road markings1 (2.4%)

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 32 in July 2024 to 34 in July 2025. Crashes on dry road surfaces increased from 38 to 40, while those on wet surfaces decreased from 3 to 1. Crashes occurring in 'Dark - roadway not lighted' conditions saw a notable increase from 3 to 8.

Weather

Clear34 (82.9%)
6.3%prior 32
Clear/Other3 (7.3%)
Clear/Unknown2 (4.9%)
Cloudy1 (2.4%)
Cloudy/Other1 (2.4%)

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

Lighting

Daylight28 (68.3%)
7.7%prior 26
Dark - roadway not lighted8 (19.5%)
Dark - lighted roadway4 (9.8%)
-42.9%prior 7
Other1 (2.4%)

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

Road Surface

Dry40 (97.6%)
5.3%prior 38
Wet1 (2.4%)

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 slightly decreased from 73 in July 2024 to 71 in July 2025. Honda vehicles saw a significant increase in involvement, from 5 to 15, becoming the top make in July 2025, while Toyota involvement decreased from 17 to 11. The 26-34 age group experienced a substantial increase in persons involved, from 8 to 17.

Top Vehicle Makes (71 vehicles)

1
HONDA15 (21.1%)
200.0%prior 5
2
TOYOTA11 (15.5%)
-35.3%prior 17
3
FORD5 (7%)
-28.6%prior 7
4
NISSAN5 (7%)
-16.7%prior 6
5
CHEVROLET4 (5.6%)
-42.9%prior 7
6
KIA4 (5.6%)
7
GMC3 (4.2%)
8
JEEP3 (4.2%)
9
MERCEDES-BENZ3 (4.2%)
10
OTH2 (2.8%)

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

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

Sex Distribution (76 persons with recorded sex)

Male47 (61.8%)
-2.1%prior 48
Female29 (38.2%)
7.4%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 30 mph zones decreased from 23 in July 2024 to 21 in July 2025, and crashes in 45 mph zones decreased from 8 to 4. Conversely, crashes in 35 mph zones increased from 2 to 7. No fatal crashes were recorded in any speed zone during 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: DRACUT, MA
  • Total crash records analyzed: 41
  • Total persons involved: 85
  • Total vehicles involved: 71

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). "DRACUT, 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/dracut/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

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