Monthly Traffic Safety Analysis

60 CRASHES IN
MARLBOROUGH, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

In March 2025, MARLBOROUGH experienced 60 total crashes, a decrease from 91 crashes in March 2024. This represents a 34.1% reduction in overall crash incidents year-over-year. The most notable shift was the significant decrease in total crashes.

60

▼ -34.1%was 91

Total Crash Events

0

Persons Killed

19

▲ 35.7%was 14

Persons Injured

6

▼ -50.0%was 12

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 · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in MARLBOROUGH decreased year-over-year. The total number of crashes fell from 91 in March 2024 to 60 in March 2025, marking a 34.1% reduction.

6

Hit-and-Run Crashes — March 2025

▼ -50.0% vs prior (12)

The number of hit-and-run crashes decreased from 12 in March 2024 to 6 in March 2025. Concurrently, the hit-and-run rate decreased from 13.2% of all crashes to 10% of all crashes. This indicates a downward trend in hit-and-run incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

0

Motorists Killed

Prior: 0→0.0%

1

Pedestrians Injured

Prior: 0→%

18

Motorists Injured

Prior: 14↑28.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Friday with 19 incidents in March 2024 to Monday with 11 incidents in March 2025. Similarly, the peak hour for crashes moved from 4 PM with 10 incidents in the prior period to 6 PM with 8 incidents in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both March 2024 and March 2025. Total injuries increased from 14 to 19, a 35.7% rise year-over-year. Minor injury crashes decreased from 12 (13.2% share) to 9 (15% share), while possible injury crashes increased from 2 (2.2% share) to 5 (8.3% share).

Outcome by Severity (Crash Events)

Minor Injury9minor injury crashes15%
↓-25.0%prior 12
Possible Injury5possible injury crashes8.3%
↑150.0%prior 2
No Injury46no injury crashes76.7%
↓-35.2%prior 71

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to "Inattention" decreased from 20 in March 2024 to 13 in March 2025, a 35% reduction in count. "No improper driving" as a factor also saw a decrease in count, from 22 to 10 crashes. Conversely, "Failed to yield right of way" increased in count from 4 crashes to 8 crashes year-over-year.

Officer-Reported Primary Contributing Cause

Inattention13 (21.7%)↓-35.0%prior 20
No improper driving10 (16.7%)↓-54.5%prior 22
Failed to yield right of way8 (13.3%)
Followed too closely7 (11.7%)↓-30.0%prior 10
Failure to keep in proper lane or running off road4 (6.7%)
Over-correcting/over-steering3 (5%)
Visibility obstructed3 (5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (3.3%)
Disregarded traffic signs, signals, road markings1 (1.7%)
Exceeded authorized speed limit1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather decreased from 61 to 41, while those in rainy conditions decreased from 18 to 8. Crashes during daylight decreased from 63 to 46, and those on dry road surfaces decreased from 66 to 47. These changes reflect a general reduction in crashes across various conditions.

Weather

Clear41 (68.3%)
↓-32.8%prior 61
Rain8 (13.3%)
↓-55.6%prior 18
Clear/Clear5 (8.3%)
Cloudy3 (5.0%)
Cloudy/Rain1 (1.7%)
Clear/Cloudy1 (1.7%)
Rain/Rain1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash

Lighting

Daylight46 (76.7%)
↓-27.0%prior 63
Dark - lighted roadway7 (11.7%)
↓-61.1%prior 18
Dusk4 (6.7%)
↓-33.3%prior 6
Dawn2 (3.3%)
Dark - roadway not lighted1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field

Road Surface

Dry47 (78.3%)
↓-28.8%prior 66
Wet13 (21.7%)
↓-40.9%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 165 in March 2024 to 116 in March 2025. Toyota remained the most frequently involved vehicle make, though its count decreased from 34 to 17. Among persons involved, the 26-34 age group saw a decrease from 38 to 21 persons, and the 35-44 age group decreased from 33 to 23 persons.

Top Vehicle Makes (116 vehicles)

1
TOYOTA17 (14.7%)
↓-50.0%prior 34
2
NISSAN11 (9.5%)
↑120.0%prior 5
3
HONDA10 (8.6%)
↓-58.3%prior 24
4
FORD9 (7.8%)
↓-55.0%prior 20
5
JEEP9 (7.8%)
↑28.6%prior 7
6
CHEVROLET9 (7.8%)
→0.0%prior 9
7
SUBARU6 (5.2%)
↓-14.3%prior 7
8
GMC6 (5.2%)
↑20.0%prior 5
9
DODGE4 (3.4%)
10
ACURA4 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records

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

Sex Distribution (135 persons with recorded sex)

Male78 (57.8%)
↓-17.0%prior 94
Female57 (42.2%)
↓-32.1%prior 84

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone decreased from 29 in March 2024 to 13 in March 2025. The 25 mph speed zone saw a slight increase from 11 crashes to 12 crashes. Crashes in the 65 mph speed zone remained constant at 7 incidents in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-03-01 through 2025-03-31 (31 days)
  • Geographic scope: MARLBOROUGH, MA
  • Total crash records analyzed: 60
  • Total persons involved: 149
  • Total vehicles involved: 116

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). "MARLBOROUGH, MA Crash Intelligence Report: March 2025." Published June 21, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/marlborough/march-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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Marlborough, MA Crash Report — March 2025 | ThatCarHitMe.com