Monthly Traffic Safety Analysis

25 CRASHES IN
DRACUT, MA
SEPTEMBER 2025

All metrics benchmarked againstSeptember 2024

In September 2025, Dracut recorded 25 crashes, mirroring the 25 crashes reported in September 2024, indicating a stable total crash count year-over-year. Despite the consistent overall number, the most notable shift was a 100% increase in DUI crashes, rising from 0 in the prior period to 1 in the current period.

25

Total Crash Events

0

Persons Killed

10

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 · 2025-09-01 to 2025-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend in crash data for September shows stability year-over-year, with total crashes remaining at 25 for both 2024 and 2025. Similarly, total fatalities held steady at 0 and total injuries remained at 10 across both periods.

1

Hit-and-Run Crashes — September 2025

0.0% vs prior (1)

The number of hit-and-run crashes remained consistent year-over-year, with 1 reported in both September 2024 and September 2025. Consequently, the hit-and-run crash rate also held steady at 4% for both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

10

Motorists Injured

Prior: 100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Friday in both periods, though the count on Fridays increased from 5 crashes in September 2024 to 9 crashes in September 2025. The peak hour shifted from 4 PM with 6 crashes in September 2024 to 8 PM with 3 crashes in September 2025, indicating a change in the most frequent crash time.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both September 2024 and September 2025, with total injuries also stable at 10. The distribution of injury severities changed, as Minor Injury crashes decreased from 5 in the prior period to 4 in the current period, while Possible Injury crashes increased from 0 to 2.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes16%
-20.0%prior 5
Possible Injury2possible injury crashes8%
No Injury19no injury crashes76%
0.0%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Inattention' crashes saw a substantial increase, rising from 2 in September 2024 to 7 in September 2025, a 250% increase in count. Conversely, crashes attributed to 'Fatigued/asleep' decreased significantly from 4 to 1, representing a 75% decrease in count. 'No improper driving' crashes slightly decreased from 11 to 10, while 'Failed to yield right of way' remained constant at 3 crashes in both periods.

Officer-Reported Primary Contributing Cause

No improper driving10 (40%)-9.1%prior 11
Inattention7 (28%)
Failed to yield right of way3 (12%)
Failure to keep in proper lane or running off road2 (8%)
Glare1 (4%)
Fatigued/asleep1 (4%)
Made an improper turn1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 17 in September 2024 to 21 in September 2025, while 'Cloudy' weather crashes decreased from 4 to 1. Under 'Daylight' conditions, crashes decreased from 18 to 14, whereas crashes in 'Dark - lighted roadway' conditions increased from 3 to 8. Road surface conditions remained largely consistent, with 'Dry' crashes increasing slightly from 21 to 22 and 'Wet' crashes stable at 3.

Weather

Clear21 (84.0%)
23.5%prior 17
Rain2 (8.0%)
Clear/Unknown1 (4.0%)
Cloudy1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Weather condition at time of crash

Lighting

Daylight14 (56.0%)
-22.2%prior 18
Dark - lighted roadway8 (32.0%)
Dusk2 (8.0%)
Dark - roadway not lighted1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Lighting condition field

Road Surface

Dry22 (88.0%)
4.8%prior 21
Wet3 (12.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (50 vehicles)

1
TOYOTA9 (18%)
28.6%prior 7
2
HONDA7 (14%)
16.7%prior 6
3
JEEP5 (10%)
4
FORD5 (10%)
5
VOLKSWAGEN2 (4%)
6
BMW2 (4%)
7
BUIC2 (4%)
8
CHEVROLET2 (4%)
9
HYUNDAI2 (4%)
10
KIA2 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records

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

Sex Distribution (57 persons with recorded sex)

Male33 (57.9%)
-10.8%prior 37
Female24 (42.1%)
41.2%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone decreased from 21 in September 2024 to 14 in September 2025, representing a 33.3% reduction in count. Conversely, crashes in the 10 mph speed zone increased from 1 to 3, a 200% increase. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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: 2025-09-01 through 2025-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-09-01 through 2025-09-30 (30 days)
  • Geographic scope: DRACUT, MA
  • Total crash records analyzed: 25
  • Total persons involved: 65
  • 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). "DRACUT, MA Crash Intelligence Report: September 2025." Published June 21, 2026. Reporting period: 2025-09-01 to 2025-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/dracut/september-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 — September 2025 | ThatCarHitMe.com