Monthly Traffic Safety Analysis

56 CRASHES IN
WESTBOROUGH, MA
JANUARY 2025

All metrics benchmarked againstJanuary 2024

Total crashes in WESTBOROUGH decreased from 69 in January 2024 to 56 in January 2025, representing an 18.84% reduction. The most notable shift was the absence of DUI-related crashes in January 2025, compared to 3 in January 2024.

56

-18.8%was 69

Total Crash Events

0

Persons Killed

12

-7.7%was 13

Persons Injured

3

-25.0%was 4

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

Trend Summary

Overall, crash trends in WESTBOROUGH show a decrease year-over-year. Total crashes fell by 13, from 69 in January 2024 to 56 in January 2025. Similarly, total injuries decreased slightly from 13 to 12 over the same period.

3

Hit-and-Run Crashes — January 2025

-25.0% vs prior (4)

Hit-and-run crashes decreased from 4 in January 2024 to 3 in January 2025. The hit-and-run rate also saw a slight decrease, moving from 5.8% in the prior period to 5.4% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

12

Motorists Injured

Prior: 13-7.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · 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 Monday with 16 crashes in January 2024 to Tuesday with 12 crashes in January 2025. The peak hour also changed, moving from 5 PM with 10 crashes in January 2024 to 3 PM with 7 crashes in January 2025.

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

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

Crash Severity Breakdown

Fatalities remained at 0 in both January 2024 and January 2025. The proportion of minor injury crashes increased from 8.7% (6 crashes) in the prior period to 14.3% (8 crashes) in the current period. Conversely, possible injury crashes decreased from 7.2% (5 crashes) to 5.4% (3 crashes) year-over-year.

Outcome by Severity (Crash Events)

Minor Injury8minor injury crashes14.3%
33.3%prior 6
Possible Injury3possible injury crashes5.4%
-40.0%prior 5
No Injury44no injury crashes78.6%
-22.8%prior 57

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

Severity Distribution (Crash Events)

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

Top Contributing Factors

Crashes attributed to "Inattention" increased from 11 in January 2024 to 14 in January 2025. "No improper driving" decreased from 16 crashes to 10 crashes, while "Followed too closely" saw a reduction from 14 crashes to 4 crashes. Crashes due to "Disregarded traffic signs, signals, road markings" increased from 1 to 4 year-over-year.

Officer-Reported Primary Contributing Cause

Inattention14 (25%)27.3%prior 11
No improper driving10 (17.9%)-37.5%prior 16
Followed too closely4 (7.1%)-71.4%prior 14
Disregarded traffic signs, signals, road markings4 (7.1%)
Failed to yield right of way4 (7.1%)-20.0%prior 5
Distracted2 (3.6%)
Failure to keep in proper lane or running off road2 (3.6%)
Made an improper turn2 (3.6%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (3.6%)
Other improper action2 (3.6%)

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

Road & Environmental Conditions

Crashes occurring in "Clear" weather remained stable, with 42 in January 2024 and 40 in January 2025. There was a notable decrease in crashes under "Dark - lighted roadway" conditions, falling from 14 in January 2024 to 3 in January 2025. Crashes on "Snow" covered road surfaces decreased from 10 to 3 year-over-year.

Weather

Clear40 (72.7%)
-4.8%prior 42
Clear/Clear4 (7.3%)
Rain3 (5.5%)
Cloudy2 (3.6%)
-77.8%prior 9
Snow2 (3.6%)
-66.7%prior 6
Snow/Cloudy2 (3.6%)
Clear/Cloudy1 (1.8%)
Snow/Sleet, hail (freezing rain or drizzle)1 (1.8%)

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

Lighting

Daylight43 (78.2%)
4.9%prior 41
Dusk5 (9.1%)
Dark - lighted roadway3 (5.5%)
-78.6%prior 14
Dark - roadway not lighted2 (3.6%)
-80.0%prior 10
Dawn2 (3.6%)

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

Road Surface

Dry43 (79.6%)
4.9%prior 41
Wet7 (13.0%)
-46.2%prior 13
Snow3 (5.6%)
-70.0%prior 10
Ice1 (1.9%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 126 in January 2024 to 118 in January 2025. TOYOTA became the most frequently involved make with 29 vehicles in the current period, up from 16 in the prior period. The 65+ age group saw a slight increase in representation from 12 to 13 persons, while the 55-64 age group decreased from 23 to 19 persons.

Top Vehicle Makes (118 vehicles)

1
TOYOTA29 (24.6%)
81.3%prior 16
2
HONDA16 (13.6%)
0.0%prior 16
3
NISSAN12 (10.2%)
50.0%prior 8
4
FORD10 (8.5%)
-37.5%prior 16
5
SUBARU7 (5.9%)
-22.2%prior 9
6
VOLKSWAGEN5 (4.2%)
7
CHEVROLET4 (3.4%)
-33.3%prior 6
8
AUDI4 (3.4%)
9
ACURA3 (2.5%)
10
RAM3 (2.5%)

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

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

Sex Distribution (136 persons with recorded sex)

Male73 (53.7%)
-14.1%prior 85
Female63 (46.3%)
10.5%prior 57

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

Speed Limit Zones

Crashes in the 65 mph speed limit zone significantly decreased from 11 in January 2024 to 4 in January 2025. Crashes in the 30 mph zone saw a slight reduction from 23 to 21. Conversely, crashes in the 55 mph zone increased from 4 to 6 year-over-year.

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

Data Coverage

  • Reporting period: 2025-01-01 through 2025-01-31 (31 days)
  • Geographic scope: WESTBOROUGH, MA
  • Total crash records analyzed: 56
  • Total persons involved: 146
  • Total vehicles involved: 118

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: January 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-01-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westborough/january-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 — January 2025 | ThatCarHitMe.com