Monthly Traffic Safety Analysis

45 CRASHES IN
DRACUT, MA
APRIL 2025

All metrics benchmarked againstApril 2024

In April 2025, Dracut experienced 45 total crashes, a significant increase from the 21 crashes reported in April 2024, representing a 114.29% rise. The most notable year-over-year shift was the substantial increase in overall crash incidents, alongside a decrease in fatalities from 1 to 0.

45

114.3%was 21

Total Crash Events

0

-100.0%was 1

Persons Killed

11

10.0%was 10

Persons Injured

0

-100.0%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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Dracut showed a substantial upward trend year-over-year, increasing by 114.29% from 21 crashes in April 2024 to 45 crashes in April 2025. This indicates a significant rise in crash incidents during the comparative period.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 1-100.0%

1

Cyclists Injured

Prior: 0%

10

Motorists Injured

Prior: 100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes in April 2024 was Friday with 5 crashes, whereas in April 2025, both Friday and Wednesday recorded the highest number of crashes, each with 8 incidents. The peak hour also changed from 5 p.m. with 3 crashes in April 2024 to 2 p.m. with 4 crashes in April 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While April 2024 recorded 1 fatal crash and 1 fatality, April 2025 saw no fatal crashes or fatalities. However, total injuries increased from 10 in April 2024 to 11 in April 2025, with serious injuries (severity A) increasing from 0 to 1, and minor injuries (severity B) rising from 4 to 6.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.2%
Minor Injury6minor injury crashes13.3%
50.0%prior 4
Possible Injury3possible injury crashes6.7%
50.0%prior 2
No Injury35no injury crashes77.8%
150.0%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving,' increased from 7 crashes in April 2024 to 11 crashes in April 2025, a 57.14% rise. 'Inattention' crashes saw a 200% increase, going from 2 to 6, while 'Failed to yield right of way' crashes rose by 500%, from 1 to 6. Conversely, 'Disregarded traffic signs, signals, road markings' decreased by 2 crashes, from 3 to 1.

Officer-Reported Primary Contributing Cause

No improper driving11 (24.4%)57.1%prior 7
Inattention6 (13.3%)
Failed to yield right of way6 (13.3%)
Distracted3 (6.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (6.7%)
Failure to keep in proper lane or running off road2 (4.4%)
Other improper action2 (4.4%)
Made an improper turn1 (2.2%)
Glare1 (2.2%)
Disregarded traffic signs, signals, road markings1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 16 in April 2024 to 28 in April 2025. Crashes on wet road surfaces also rose significantly, from 4 to 15 year-over-year. Similarly, crashes occurring in dark conditions (all dark categories combined) increased from 5 to 11.

Weather

Clear28 (62.2%)
75.0%prior 16
Rain6 (13.3%)
Cloudy4 (8.9%)
Cloudy/Rain2 (4.4%)
Clear/Unknown1 (2.2%)
Clear/Other1 (2.2%)
Rain/Cloudy1 (2.2%)
Rain/Other1 (2.2%)
Snow/Sleet, hail (freezing rain or drizzle)1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Weather condition at time of crash

Lighting

Daylight32 (71.1%)
100.0%prior 16
Dark - lighted roadway9 (20.0%)
Dark - roadway not lighted1 (2.2%)
Dark - unknown roadway lighting1 (2.2%)
Dawn1 (2.2%)
Other1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Lighting condition field

Road Surface

Dry30 (66.7%)
100.0%prior 15
Wet15 (33.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (82 vehicles)

1
TOYOTA15 (18.3%)
150.0%prior 6
2
HONDA11 (13.4%)
37.5%prior 8
3
FORD9 (11%)
4
CHEVROLET8 (9.8%)
5
JEEP5 (6.1%)
6
SUBARU4 (4.9%)
7
BMW4 (4.9%)
8
VOLKSWAGEN3 (3.7%)
9
MAZDA3 (3.7%)
10
HYUNDAI3 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Vehicle unit records

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

Sex Distribution (97 persons with recorded sex)

Male49 (50.5%)
172.2%prior 18
Female48 (49.5%)
71.4%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones doubled, increasing from 13 in April 2024 to 26 in April 2025. Crashes in 35 mph zones saw a 500% increase, rising from 1 to 6, and 45 mph zones increased by 200%, from 1 to 3. Additionally, new crash occurrences were observed in 5, 10, 15, and 20 mph speed zones in April 2025, which had no recorded crashes in April 2024. There were no fatalities reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-04-01 through 2025-04-30 (30 days)
  • Geographic scope: DRACUT, MA
  • Total crash records analyzed: 45
  • Total persons involved: 104
  • Total vehicles involved: 82

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: April 2025." Published June 21, 2026. Reporting period: 2025-04-01 to 2025-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/dracut/april-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 — April 2025 | ThatCarHitMe.com