Monthly Traffic Safety Analysis

65 CRASHES IN
WESTBOROUGH, MA
JULY 2025

All metrics benchmarked againstJuly 2024

Total crashes in WESTBOROUGH increased by 22.64% from 53 in July 2024 to 65 in July 2025. A notable shift was the increase in hit-and-run crashes, which tripled from 1 to 3, causing the hit-and-run rate to rise from 1.9% to 4.6%. Despite the overall increase in crashes, total injuries decreased during this period.

65

▲ 22.6%was 53

Total Crash Events

0

Persons Killed

10

▼ -37.5%was 16

Persons Injured

3

▲ 200.0%was 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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in WESTBOROUGH increased by 22.64% year-over-year, rising from 53 in July 2024 to 65 in July 2025. Despite this increase in crash incidents, the total number of injuries decreased from 16 to 10 during the same period, while fatalities remained at zero.

3

Hit-and-Run Crashes — July 2025

▲ 200.0% vs prior (1)

Hit-and-run crashes in WESTBOROUGH increased from 1 in July 2024 to 3 in July 2025. Consequently, the hit-and-run rate rose from 1.9% of total crashes in July 2024 to 4.6% in July 2025, indicating an upward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

10

Motorists Injured

Prior: 15↓-33.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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 Thursday in July 2024 (9 crashes) to Wednesday in July 2025 (16 crashes). The peak hour for crashes also changed, moving from 2 p.m. with 7 crashes in July 2024 to 3 p.m. with 8 crashes in July 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both July 2024 and July 2025. Total injuries decreased from 16 in July 2024 to 10 in July 2025. The proportion of minor injury crashes increased from 9.4% to 12.3% of total crashes, while possible injury crashes decreased from 3.8% to 1.5%.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.5%
→0.0%prior 1
Minor Injury8minor injury crashes12.3%
↑60.0%prior 5
Possible Injury1possible injury crashes1.5%
↓-50.0%prior 2
No Injury53no injury crashes81.5%
↑17.8%prior 45

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Followed too closely' increased by 2 crashes, from 11 in July 2024 to 13 in July 2025. 'Failed to yield right of way' also saw an increase, rising by 3 crashes from 9 to 12. Conversely, 'Inattention' decreased by 3 crashes, from 12 in July 2024 to 9 in July 2025, and 'Fatigued/asleep' increased significantly from 1 to 6 crashes.

Officer-Reported Primary Contributing Cause

Followed too closely13 (20%)↑18.2%prior 11
Failed to yield right of way12 (18.5%)↑33.3%prior 9
Inattention9 (13.8%)↓-25.0%prior 12
No improper driving8 (12.3%)↑33.3%prior 6
Fatigued/asleep6 (9.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (6.2%)
Driving too fast for conditions2 (3.1%)
Illness2 (3.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (3.1%)
Visibility obstructed2 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions slightly increased from 42 in July 2024 to 44 in July 2025, remaining the dominant condition. Crashes on wet road surfaces tripled from 3 in July 2024 to 9 in July 2025. Incidents occurring in dark conditions with unlighted roadways increased from 1 to 4.

Weather

Clear44 (67.7%)
↑4.8%prior 42
Clear/Clear7 (10.8%)
Cloudy6 (9.2%)
↓-14.3%prior 7
Cloudy/Rain3 (4.6%)
Rain3 (4.6%)
Rain/Cloudy2 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight58 (89.2%)
↑11.5%prior 52
Dark - roadway not lighted4 (6.2%)
Dark - lighted roadway2 (3.1%)
Dawn1 (1.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Road Surface

Dry55 (84.6%)
↑10.0%prior 50
Wet9 (13.8%)
Water (standing, moving)1 (1.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 104 in July 2024 to 120 in July 2025. Toyota and Honda remained the top two vehicle makes involved, with Toyota increasing from 19 to 25 and Honda from 15 to 18. The number of males involved in crashes increased from 74 to 83, while females decreased from 75 to 52.

Top Vehicle Makes (120 vehicles)

1
TOYOTA25 (20.8%)
↑31.6%prior 19
2
HONDA18 (15%)
↑20.0%prior 15
3
KIA9 (7.5%)
4
FORD9 (7.5%)
5
NISSAN7 (5.8%)
→0.0%prior 7
6
JEEP6 (5%)
↓-14.3%prior 7
7
AUDI5 (4.2%)
↓-16.7%prior 6
8
SUBARU4 (3.3%)
↓-20.0%prior 5
9
VOLVO3 (2.5%)
10
BMW3 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

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

Sex Distribution (135 persons with recorded sex)

Male83 (61.5%)
↑12.2%prior 74
Female52 (38.5%)
↓-30.7%prior 75

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones increased from 21 in July 2024 to 24 in July 2025. A notable shift occurred in higher speed zones, with crashes in 55 mph zones increasing from 4 to 7, and in 65 mph zones from 1 to 7. Crashes in 45 mph zones decreased from 14 to 11.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: WESTBOROUGH, MA
  • Total crash records analyzed: 65
  • Total persons involved: 146
  • Total vehicles involved: 120

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: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westborough/july-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 — July 2025 | ThatCarHitMe.com