Monthly Traffic Safety Analysis

9 CRASHES IN
MILLBURY, MA
OCTOBER 2024

All metrics benchmarked againstOctober 2023

Total crashes in MILLBURY, MA in October 2024 were 9, a significant decrease from 24 crashes in October 2023. This represents a 62.5% reduction in total crashes year-over-year. The most notable shift is the substantial decline in overall crash incidents.

9

-62.5%was 24

Total Crash Events

0

Persons Killed

4

-20.0%was 5

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 · 2024-10-01 to 2024-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash incidents in MILLBURY, MA saw a significant downward trend year-over-year, decreasing from 24 crashes in October 2023 to 9 crashes in October 2024. This represents a 62.5% reduction in total crashes. Injuries also decreased, from 5 in the prior period to 4 in the current period, a 20% reduction.

1

Hit-and-Run Crashes — October 2024

0.0% vs prior (1)

The number of hit-and-run crashes remained constant at 1 in both October 2023 and October 2024. However, due to the overall decrease in total crashes, the hit-and-run rate increased from 4.2% in the prior period to 11.1% in the current period. This indicates an upward trend in the proportion of crashes involving a hit-and-run incident.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 5-20.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted year-over-year. In October 2023, the peak day for crashes was Thursday with 7 incidents, and the peak hour was 5 PM with 4 incidents. In contrast, October 2024 saw crashes distributed more evenly, with Sunday and Friday both recording 2 incidents, and the peak hour shifting to 12 PM with 2 incidents.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both October 2023 and October 2024. The total number of injured persons decreased from 5 in the prior period to 4 in the current period. The proportion of crashes resulting in minor injuries increased from 12.5% (3 crashes) in October 2023 to 22.2% (2 crashes) in October 2024, while crashes with no injuries remained the dominant category, accounting for 75% and 77.8% respectively.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes22.2%
-33.3%prior 3
No Injury7no injury crashes77.8%
-61.1%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to "No improper driving" decreased from 8 in October 2023 to 2 in October 2024. Similarly, "Failed to yield right of way" and "Other improper action" each decreased from 3 crashes in the prior period to 1 crash in the current period. Factors like "Failure to keep in proper lane or running off road" and "Followed too closely," each accounting for 2 crashes in October 2023, were not among the top contributing factors in October 2024.

Officer-Reported Primary Contributing Cause

No improper driving2 (22.2%)-75.0%prior 8
Driving too fast for conditions1 (11.1%)
Exceeded authorized speed limit1 (11.1%)
Failed to yield right of way1 (11.1%)
Other improper action1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 16 in October 2023 to 6 in October 2024. Similarly, crashes on dry road surfaces decreased from 19 to 6 year-over-year. Crashes during daylight hours also saw a reduction, from 15 incidents in October 2023 to 5 in October 2024.

Weather

Clear3 (33.3%)
-81.3%prior 16
Clear/Clear3 (33.3%)
Rain2 (22.2%)
-60.0%prior 5
Cloudy1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Weather condition at time of crash

Lighting

Daylight5 (55.6%)
-66.7%prior 15
Dark - lighted roadway4 (44.4%)
-33.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Lighting condition field

Road Surface

Dry6 (66.7%)
-68.4%prior 19
Wet3 (33.3%)
-40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (18 vehicles)

1
NISSAN3 (16.7%)
2
FREIGHTLINER2 (11.1%)
3
HONDA2 (11.1%)
-66.7%prior 6
4
CHEVROLET2 (11.1%)
5
HYUNDAI1 (5.6%)
6
KENTWORTH1 (5.6%)
7
TESL1 (5.6%)
8
TOYOTA1 (5.6%)
-83.3%prior 6
9
VOLVO1 (5.6%)
10
DODGE1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Vehicle unit records

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

Sex Distribution (19 persons with recorded sex)

Male13 (68.4%)
-53.6%prior 28
Female6 (31.6%)
-40.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Person-level records linked to crash events

Speed Limit Zones

The total number of crashes reported with a recorded speed limit decreased from 20 in October 2023 to 7 in October 2024. Crashes in the 65 mph speed limit zone decreased from 7 to 3 year-over-year. No fatal crashes were reported in any speed limit zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · 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: 2024-10-01 through 2024-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-10-01 through 2024-10-31 (31 days)
  • Geographic scope: MILLBURY, MA
  • Total crash records analyzed: 9
  • Total persons involved: 22
  • Total vehicles involved: 18

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). "MILLBURY, MA Crash Intelligence Report: October 2024." Published June 21, 2026. Reporting period: 2024-10-01 to 2024-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/millbury/october-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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Millbury, MA Crash Report — October 2024 | ThatCarHitMe.com