Monthly Traffic Safety Analysis

28 CRASHES IN
DRACUT, MA
FEBRUARY 2024

All metrics benchmarked againstFebruary 2023

In February 2024, DRACUT, MA experienced 28 total crashes, an increase from 24 crashes reported in February 2023, representing a 16.67% rise year-over-year. A notable shift includes the decrease in hit-and-run crashes, which fell from 2 in the prior period to 1 in the current period.

28

16.7%was 24

Total Crash Events

0

Persons Killed

3

-25.0%was 4

Persons Injured

1

-50.0%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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates an increase in total crashes, rising from 24 in February 2023 to 28 in February 2024. This represents a 16.67% increase in crash incidents year-over-year for the selected month.

1

Hit-and-Run Crashes — February 2024

-50.0% vs prior (2)

Hit-and-run crashes decreased from 2 in February 2023 to 1 in February 2024. Consequently, the hit-and-run rate also decreased from 8.3% of total crashes in the prior period to 3.6% in the current period, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 4-25.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · 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 Saturday in both periods, with 7 crashes in February 2024 compared to 5 in February 2023. The peak hour for crashes shifted from 3 PM with 6 crashes in the prior period to 6 PM with 7 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Neither period recorded any fatal crashes or fatalities. Total injuries decreased from 4 in February 2023 to 3 in February 2024. The current period saw 1 serious injury crash (3.6% of crashes), which was not reported in the prior period, while minor injury crashes decreased from 3 (12.5% share) to 1 (3.6% share).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.6%
Minor Injury1minor injury crashes3.6%
-66.7%prior 3
Possible Injury1possible injury crashes3.6%
0.0%prior 1
No Injury24no injury crashes85.7%
20.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'Inattention,' increased from 3 crashes in the prior period to 7 crashes in the current period, moving from third to first rank. Conversely, 'No improper driving' decreased by 1 crash, from 7 to 6, and 'Failed to yield right of way' also decreased by 1 crash, from 4 to 3. 'Driving too fast for conditions,' which accounted for 2 crashes in the prior period, was not reported in the current period.

Officer-Reported Primary Contributing Cause

Inattention7 (25%)
No improper driving6 (21.4%)-14.3%prior 7
Failed to yield right of way3 (10.7%)
Followed too closely1 (3.6%)
Made an improper turn1 (3.6%)
Fatigued/asleep1 (3.6%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (3.6%)
Over-correcting/over-steering1 (3.6%)
Visibility obstructed1 (3.6%)
Failure to keep in proper lane or running off road1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 15 in the prior period to 24 in the current period, while 'Snow' related crashes remained at 2. Crashes during 'Daylight' decreased from 16 to 14, but crashes in 'Dark - lighted roadway' conditions increased from 4 to 8. Crashes on 'Dry' road surfaces increased from 15 to 25, whereas 'Snow' and 'Wet' road surface crashes both decreased from 4 to 1 each.

Weather

Clear24 (88.9%)
60.0%prior 15
Snow2 (7.4%)
Clear/Cloudy1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Weather condition at time of crash

Lighting

Daylight14 (50.0%)
-12.5%prior 16
Dark - lighted roadway8 (28.6%)
Dark - roadway not lighted5 (17.9%)
Dark - unknown roadway lighting1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Lighting condition field

Road Surface

Dry25 (92.6%)
66.7%prior 15
Snow1 (3.7%)
Wet1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (49 vehicles)

1
HONDA12 (24.5%)
50.0%prior 8
2
TOYOTA7 (14.3%)
3
FORD5 (10.2%)
4
GMC5 (10.2%)
5
INFI4 (8.2%)
6
JEEP3 (6.1%)
7
NISSAN3 (6.1%)
-40.0%prior 5
8
KIA2 (4.1%)
9
ACURA2 (4.1%)
10
CHEVROLET2 (4.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Vehicle unit records

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

Sex Distribution (52 persons with recorded sex)

Male32 (61.5%)
33.3%prior 24
Female20 (38.5%)
-16.7%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone slightly increased from 18 in the prior period to 19 in the current period, while the 35 mph zone maintained 3 crashes. The 25 mph zone, which had 2 crashes in the prior period, had no reported crashes in the current period. New speed zones with reported crashes in the current period include 5 mph (1 crash), 15 mph (1 crash), and 40 mph (2 crashes).

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · 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: 2024-02-01 through 2024-02-29
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-02-01 through 2024-02-29 (29 days)
  • Geographic scope: DRACUT, MA
  • Total crash records analyzed: 28
  • Total persons involved: 57
  • Total vehicles involved: 49

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: February 2024." Published June 21, 2026. Reporting period: 2024-02-01 to 2024-02-29. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/dracut/february-2024-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 — February 2024 | ThatCarHitMe.com