ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · DRACUT, MA · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/dracut/2024-annual-report
Yearly Traffic Safety Analysis
420 CRASHES IN
DRACUT, MA
2024
In Dracut, total traffic crashes decreased slightly from 426 in 2023 to 420 in 2024, a change of -1.4%. While overall incidents were stable, total injuries rose from 115 to 122. The most notable year-over-year shift was a sharp increase in bicycle-involved crashes, which grew from 2 incidents in 2023 to 7 in 2024.
420
▼ -1.4%was 426
Total Crash Events
2
Persons Killed
122
▲ 6.1%was 115
Persons Injured
34
▲ 17.2%was 29
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 14 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Dracut remained relatively stable year-over-year, with a minor 1.4% decrease from 426 to 420 total incidents. Despite the small drop in total crashes, the number of people injured increased by 6.1%, from 115 to 122. The number of fatalities was unchanged, with 2 recorded in both 2023 and 2024.
34
Hit-and-Run Crashes — 2024
▲ 17.2% vs prior (29)
Hit-and-run crashes trended upward in both count and rate. The number of incidents increased from 29 in 2023 to 34 in 2024. As a result, the hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, rose from 6.8% to 8.1% year-over-year.
Vulnerable Road User Casualties
0
Cyclists Killed
2
Motorists Killed
0
Other Killed
6
Cyclists Injured
114
Motorists Injured
2
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The primary temporal patterns for crashes were consistent year-over-year. Friday remained the peak day for crashes in both 2024 (76 crashes) and 2023 (77 crashes). Similarly, the 5 p.m. hour was the most frequent time for incidents in both periods, with 37 crashes in 2024 and 36 in 2023. While the peaks held steady, there was a shift in crash frequency on other weekdays, with incidents on Tuesdays and Wednesdays increasing in 2024 compared to the prior year.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The distribution of crash severity saw minor changes between the two periods. The number of fatal crashes (2) and serious injury crashes (6) was identical in both 2024 and 2023, representing 0.5% and 1.4% of all crashes, respectively. However, crashes classified as 'Possible Injury' increased from 16 to 21, while 'No Injury' crashes decreased from 327 to 315. This reflects a slight shift from non-injury outcomes to possible-injury outcomes.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
In 2024, the leading contributing factors were 'Inattention' (61 crashes) and 'Failed to yield right of way' (45 crashes). This marks a change from 2023, when these two factors were tied with 56 crashes each. While the count for 'Failed to yield' incidents decreased, the count for 'Inattention' incidents rose. A significant change was observed in crashes attributed to a driver being 'Fatigued/asleep,' which increased from 3 incidents in 2023 to 11 in 2024.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in 2024 were slightly more likely to occur in clear weather and on dry roads compared to the prior year. Clear-weather crashes increased from 292 to 301, while dry-road crashes were nearly unchanged at 325 versus 324. Crashes during rainfall decreased from 37 to 24 year-over-year, whereas incidents in snowy conditions increased from 9 to 13. The proportion of crashes occurring in daylight also saw a small decrease from 62% in 2023 to 60% in 2024.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes were consistent, but their order changed; Toyota (126 vehicles) became the most common make in 2024, surpassing Honda (118 vehicles), which was number one in 2023. An analysis of persons involved in crashes shows a notable increase in the 0-15 age group, which grew from 50 individuals in 2023 to 81 in 2024. Concurrently, the number of people in the 26-34 age group involved in crashes decreased from 147 to 127.
Top Vehicle Makes (741 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
94 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (827 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crash distribution by speed zone shifted between the two years. Crashes in 30 mph zones decreased from 283 to 254, though this remained the most common zone for incidents. In contrast, crashes in 45 mph zones increased from 24 to 35. In 2024, one of the city's two fatal crashes occurred in a 45 mph zone; in 2023, one fatal crash occurred in a 30 mph zone and the other in a 45 mph zone.
Fatal crashes by zone: 45 mph: 1 of 35 (2.857%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: DRACUT, MA
- Total crash records analyzed: 420
- Total persons involved: 937
- Total vehicles involved: 741
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: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/dracut/2024-annual-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved