Monthly Traffic Safety Analysis

24 CRASHES IN
HUDSON, MA
JUNE 2025

All metrics benchmarked againstJune 2024

In June 2025, Hudson experienced 24 crashes, a decrease of 44.2% compared to the 43 crashes recorded in June 2024. Total injuries also saw a substantial reduction, dropping from 13 in June 2024 to 3 in June 2025, representing a 76.9% decrease. There were no fatalities in either period.

24

-44.2%was 43

Total Crash Events

0

Persons Killed

3

-76.9%was 13

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 · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for Hudson shows a significant downward trend year-over-year. Total crashes decreased by 44.2%, from 43 in June 2024 to 24 in June 2025. Concurrently, total injuries fell by 76.9%, from 13 to 3, indicating a positive safety trend.

1

Hit-and-Run Crashes — June 2025

4.2% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 13-76.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

In June 2025, the peak crash days were Friday and Saturday, both with 5 crashes, while in June 2024, Monday and Saturday shared the peak with 9 crashes each. The peak crash hour shifted from 5 PM with 5 crashes in June 2024 to 4 PM with 3 crashes in June 2025. Overall, crash counts were lower across most days and hours in June 2025 compared to the prior year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either June 2025 or June 2024. Total injuries decreased significantly from 13 in June 2024 to 3 in June 2025. In June 2024, there was 1 serious injury crash, 8 minor injury crashes, and 2 possible injury crashes, whereas in June 2025, there were 2 minor injury crashes and 1 possible injury crash, indicating a reduction in all injury severity levels.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes8.3%
-75.0%prior 8
Possible Injury1possible injury crashes4.2%
-50.0%prior 2
No Injury21no injury crashes87.5%
-34.4%prior 32

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor in June 2025 was 'No improper driving' with 6 crashes, a slight decrease from 7 in June 2024. Crashes attributed to 'Followed too closely' saw a significant reduction, dropping from 8 in June 2024 to 2 in June 2025. Conversely, 'Failed to yield right of way' increased from 1 crash in June 2024 to 3 crashes in June 2025, becoming a more prominent factor.

Officer-Reported Primary Contributing Cause

No improper driving6 (25%)-14.3%prior 7
Inattention4 (16.7%)-20.0%prior 5
Failed to yield right of way3 (12.5%)
Driving too fast for conditions2 (8.3%)
Followed too closely2 (8.3%)-75.0%prior 8
Other improper action2 (8.3%)-60.0%prior 5
Disregarded traffic signs, signals, road markings1 (4.2%)
Wrong side or wrong way1 (4.2%)
Exceeded authorized speed limit1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 37 in June 2024 to 14 in June 2025, while crashes during 'Rain' increased from 1 to 5. The number of crashes on 'Wet' road surfaces rose from 4 in June 2024 to 6 in June 2025. Crashes in 'Daylight' conditions decreased from 31 to 17 year-over-year.

Weather

Clear14 (58.3%)
-62.2%prior 37
Rain5 (20.8%)
Cloudy3 (12.5%)
Clear/Clear1 (4.2%)
Rain/Cloudy1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash

Lighting

Daylight17 (70.8%)
-45.2%prior 31
Dark - lighted roadway3 (12.5%)
-50.0%prior 6
Dusk3 (12.5%)
Dawn1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field

Road Surface

Dry18 (75.0%)
-52.6%prior 38
Wet6 (25.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (42 vehicles)

1
TOYOTA12 (28.6%)
0.0%prior 12
2
FORD7 (16.7%)
-36.4%prior 11
3
SUBARU4 (9.5%)
-20.0%prior 5
4
CHEVROLET3 (7.1%)
-57.1%prior 7
5
HONDA3 (7.1%)
-75.0%prior 12
6
HYUNDAI2 (4.8%)
7
RAM2 (4.8%)
8
THMS1 (2.4%)
9
AUDI1 (2.4%)
10
VOLKSWAGEN1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records

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

Sex Distribution (56 persons with recorded sex)

Male29 (51.8%)
-42.0%prior 50
Female27 (48.2%)
-42.6%prior 47

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone remained the most frequent, decreasing from 22 in June 2024 to 14 in June 2025. Crashes in the 25 mph, 35 mph, and 40 mph zones also saw reductions year-over-year. No crashes were recorded in speed zones of 55 mph or higher in June 2025, compared to 2 such crashes in June 2024. There were no fatal crashes in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-06-01 through 2025-06-30 (30 days)
  • Geographic scope: HUDSON, MA
  • Total crash records analyzed: 24
  • Total persons involved: 59
  • Total vehicles involved: 42

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). "HUDSON, MA Crash Intelligence Report: June 2025." Published June 21, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hudson/june-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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Hudson, MA Crash Report — June 2025 | ThatCarHitMe.com