Monthly Traffic Safety Analysis

48 CRASHES IN
WESTBOROUGH, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

In March 2025, WESTBOROUGH experienced 48 crashes, a decrease from 53 crashes in March 2024, representing a 9.4% reduction. Notably, total injuries decreased by 29.4% year-over-year, falling from 17 to 12.

48

-9.4%was 53

Total Crash Events

0

Persons Killed

12

-29.4%was 17

Persons Injured

4

33.3%was 3

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

Trend Summary

The overall trend indicates a decrease in crash incidents, with total crashes falling by 9.4% from 53 to 48. Total injuries also saw a significant reduction, decreasing by 29.4% from 17 in the prior period to 12 in the current period.

4

Hit-and-Run Crashes — March 2025

33.3% vs prior (3)

Hit-and-run crashes increased from 3 in March 2024 to 4 in March 2025, marking a 33.3% increase in count. The hit-and-run rate also rose from 5.7% to 8.3%, indicating an upward trend in these types of incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

12

Motorists Injured

Prior: 17-29.4%

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 9 crashes in March 2024 to Saturday with 11 crashes in March 2025. The peak hour for crashes also changed, moving from 5 PM with 7 crashes in the prior period to 3 PM with 6 crashes 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

Fatal crashes remained at zero in both periods. Serious injuries (Severity 'A') increased from 0 in March 2024 to 1 in March 2025. Minor injuries (Severity 'B') decreased from 11 crashes (20.8% of total) to 4 crashes (8.3% of total), while possible injuries (Severity 'C') decreased from 3 crashes (5.7% of total) to 2 crashes (4.2% of total).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.1%
Minor Injury4minor injury crashes8.3%
-63.6%prior 11
Possible Injury2possible injury crashes4.2%
-33.3%prior 3
No Injury40no injury crashes83.3%
2.6%prior 39

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

Contributing factors saw shifts, with 'Followed too closely' decreasing by 3 crashes from 11 to 8, and 'Inattention' decreasing by 1 crash from 9 to 8. Conversely, 'Exceeded authorized speed limit' crashes increased by 300%, rising from 1 crash to 4 crashes. 'Failed to yield right of way' also increased by 2 crashes, from 5 to 7.

Officer-Reported Primary Contributing Cause

Inattention8 (16.7%)-11.1%prior 9
Followed too closely8 (16.7%)-27.3%prior 11
No improper driving7 (14.6%)16.7%prior 6
Failed to yield right of way7 (14.6%)40.0%prior 5
Other improper action4 (8.3%)
Exceeded authorized speed limit4 (8.3%)
Failure to keep in proper lane or running off road2 (4.2%)
Made an improper turn1 (2.1%)
Driving too fast for conditions1 (2.1%)
Distracted1 (2.1%)

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 on wet road surfaces decreased from 13 in March 2024 to 5 in March 2025. Similarly, crashes occurring in dark, unlit roadway conditions decreased from 8 to 4. Crashes in rainy weather conditions decreased from 10 in the prior period to 5 in the current period.

Weather

Clear33 (68.8%)
-2.9%prior 34
Cloudy5 (10.4%)
-28.6%prior 7
Clear/Clear4 (8.3%)
Cloudy/Rain3 (6.3%)
Clear/Cloudy1 (2.1%)
Rain1 (2.1%)
-87.5%prior 8
Rain/Rain1 (2.1%)

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

Lighting

Daylight32 (66.7%)
-8.6%prior 35
Dark - lighted roadway7 (14.6%)
16.7%prior 6
Dusk5 (10.4%)
Dark - roadway not lighted4 (8.3%)
-50.0%prior 8

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

Road Surface

Dry42 (87.5%)
5.0%prior 40
Wet5 (10.4%)
-61.5%prior 13
Sand, mud, dirt, oil, gravel1 (2.1%)

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 slightly decreased from 97 to 95. The top vehicle make 'HONDA' saw a decrease from 19 to 8, while 'FORD' increased from 6 to 12. The '65+' age group saw an increase in persons involved from 10 to 17, while the '16-20' age group decreased from 15 to 10 persons.

Top Vehicle Makes (95 vehicles)

1
TOYOTA15 (15.8%)
-11.8%prior 17
2
FORD12 (12.6%)
100.0%prior 6
3
HONDA8 (8.4%)
-57.9%prior 19
4
BMW6 (6.3%)
5
NISSAN6 (6.3%)
-14.3%prior 7
6
LEXUS4 (4.2%)
7
SUBARU4 (4.2%)
-20.0%prior 5
8
HYUNDAI4 (4.2%)
9
TESL3 (3.2%)
10
JEEP3 (3.2%)

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

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

Sex Distribution (104 persons with recorded sex)

Male55 (52.9%)
-6.8%prior 59
Female49 (47.1%)
-9.3%prior 54

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 occurring in 30 mph speed zones decreased from 17 to 14, and crashes in 65 mph zones decreased from 9 to 4. Meanwhile, crashes in 45 mph zones increased from 6 to 9, and those in 55 mph zones increased from 9 to 10. There were no fatal crashes in any speed zone in either period.

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: WESTBOROUGH, MA
  • Total crash records analyzed: 48
  • Total persons involved: 114
  • Total vehicles involved: 95

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). "WESTBOROUGH, 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/westborough/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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Westborough, MA Crash Report — March 2025 | ThatCarHitMe.com