Monthly Traffic Safety Analysis

33 CRASHES IN
DRACUT, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

In August 2025, Dracut recorded 33 total crashes, identical to the 33 crashes reported in August 2024. Despite the stable number of crashes, total injuries saw a significant increase, rising from 7 in August 2024 to 18 in August 2025, marking a 157.1% rise.

33

Total Crash Events

0

Persons Killed

18

157.1%was 7

Persons Injured

3

-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 · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes in Dracut remained stable year-over-year, with 33 incidents reported in both August 2025 and August 2024. However, the number of total injuries increased substantially by 157.1%, from 7 injuries in August 2024 to 18 injuries in August 2025.

3

Hit-and-Run Crashes — August 2025

-25.0% vs prior (4)

Hit-and-run crashes decreased from 4 incidents in August 2024 to 3 incidents in August 2025. Consequently, the hit-and-run rate decreased from 12.1% in the prior period to 9.1% in the current period, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

18

Motorists Injured

Prior: 7157.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year; August 2025 saw its peak day on Friday with 8 crashes, a change from August 2024 where Saturday recorded the most crashes at 7. The peak crash hour also moved from 4 p.m. with 5 crashes in the prior period to 12 p.m. with 4 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both August 2025 and August 2024. Total injuries, however, increased by 157.1%, from 7 in the prior year to 18 in the current year. Minor injuries (severity B) more than doubled, rising from 5 crashes (15.2% share) in August 2024 to 10 crashes (30.3% share) in August 2025, while possible injuries (severity C) were absent in the current period after accounting for 2 crashes (6.1% share) in the prior period.

Outcome by Severity (Crash Events)

Minor Injury10minor injury crashes30.3%
100.0%prior 5
No Injury21no injury crashes63.6%
-8.7%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Failed to yield right of way' increased from 4 crashes in August 2024 to 9 crashes in August 2025. Conversely, crashes attributed to 'No improper driving' decreased from 9 to 7, and 'Other improper action' decreased from 3 to 1. 'Distracted' driving incidents rose from 1 to 3 crashes year-over-year.

Officer-Reported Primary Contributing Cause

Failed to yield right of way9 (27.3%)
No improper driving7 (21.2%)-22.2%prior 9
Distracted3 (9.1%)
Inattention3 (9.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (9.1%)
Driving too fast for conditions1 (3%)
Operating defective equipment1 (3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3%)
Other improper action1 (3%)
Failure to keep in proper lane or running off road1 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 24 in August 2024 to 26 in August 2025. The number of crashes on 'Wet' road surfaces decreased from 4 to 2. There was a notable shift in lighting conditions, with 'Daylight' crashes decreasing from 24 to 19, while crashes in 'Dark - lighted roadway' conditions doubled from 5 to 10.

Weather

Clear26 (78.8%)
8.3%prior 24
Clear/Other2 (6.1%)
Cloudy2 (6.1%)
Clear/Unknown1 (3.0%)
Rain1 (3.0%)
Rain/Other1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight19 (57.6%)
-20.8%prior 24
Dark - lighted roadway10 (30.3%)
100.0%prior 5
Dark - roadway not lighted3 (9.1%)
Dawn1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Road Surface

Dry31 (93.9%)
6.9%prior 29
Wet2 (6.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 57 in August 2024 to 60 in August 2025. A significant shift in age distribution was observed, with persons aged 16-20 involved in 18 crashes in August 2025, up from 6 in August 2024, while those aged 26-34 decreased from 13 to 7. Among vehicle makes, Toyota and Honda saw decreases in involvement, while Nissan and Ford each increased from 4 to 5 vehicles.

Top Vehicle Makes (60 vehicles)

1
TOYOTA10 (16.7%)
-23.1%prior 13
2
HONDA7 (11.7%)
-22.2%prior 9
3
NISSAN5 (8.3%)
4
FORD5 (8.3%)
5
MAZDA3 (5%)
6
LEXUS3 (5%)
7
HYUNDAI3 (5%)
8
JEEP3 (5%)
9
DODGE3 (5%)
10
ACURA2 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

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

Sex Distribution (75 persons with recorded sex)

Male39 (52.0%)
21.9%prior 32
Female36 (48.0%)
20.0%prior 30

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 30 mph speed zones decreased from 21 in August 2024 to 15 in August 2025. Conversely, crashes in 45 mph speed zones increased from 2 to 4, and those in 25 mph zones rose from 2 to 3. There were no fatal crashes reported in any speed limit zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: DRACUT, MA
  • Total crash records analyzed: 33
  • Total persons involved: 86
  • Total vehicles involved: 60

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: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/dracut/august-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 — August 2025 | ThatCarHitMe.com