Monthly Traffic Safety Analysis

39 CRASHES IN
WESTWOOD, MA
SEPTEMBER 2025

All metrics benchmarked againstSeptember 2024

In September 2025, Westwood experienced 39 total crashes, a decrease of 9.3% compared to the 43 crashes recorded in September 2024. The most notable shift was a significant reduction in speeding-related crashes, which fell from 7 in the prior period to 1 in the current period, representing an 85.7% decrease.

39

-9.3%was 43

Total Crash Events

0

Persons Killed

6

-33.3%was 9

Persons Injured

0

-100.0%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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for Westwood indicates a declining trend year-over-year, with total crashes decreasing by 9.3% from 43 to 39. Similarly, total injuries saw a substantial reduction of 33.3%, dropping from 9 in September 2024 to 6 in September 2025, while total fatalities remained at zero in both periods.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 10.0%

5

Motorists Injured

Prior: 8-37.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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 with 9 crashes in September 2024 to Friday with 10 crashes in September 2025. The peak hour also changed, moving from 3 PM with 6 crashes in the prior year to 4 PM with 7 crashes in the current year. Crashes on Wednesday saw a notable decrease of 6, falling from 8 to 2.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either period. Total injuries decreased from 9 in September 2024 to 6 in September 2025, a 33.3% reduction. Specifically, serious injuries (A) decreased from 1 to 0, and possible injuries (C) decreased from 3 to 1, while minor injuries (B) remained constant at 4.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes10.3%
0.0%prior 4
Possible Injury1possible injury crashes2.6%
-66.7%prior 3
No Injury34no injury crashes87.2%
0.0%prior 34

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Followed too closely' remained the highest, with 10 crashes in both periods. 'Inattention' crashes increased significantly from 2 in the prior period to 6 in the current period, while 'Driving too fast for conditions' decreased from 6 crashes to 0. Crashes attributed to 'Failed to yield right of way' decreased from 4 to 3.

Officer-Reported Primary Contributing Cause

Followed too closely10 (25.6%)0.0%prior 10
No improper driving7 (17.9%)16.7%prior 6
Inattention6 (15.4%)
Failure to keep in proper lane or running off road4 (10.3%)
Failed to yield right of way3 (7.7%)
Visibility obstructed1 (2.6%)
History heart/epilepsy/fainting1 (2.6%)
Distracted1 (2.6%)
Exceeded authorized speed limit1 (2.6%)
Disregarded traffic signs, signals, road markings1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in 'Daylight' conditions increased from 31 in the prior period to 35 in the current period. Crashes in 'Dark - lighted roadway' conditions decreased from 8 to 2. The number of crashes on 'Wet' road surfaces decreased from 5 to 2 year-over-year.

Weather

Clear/Clear24 (61.5%)
33.3%prior 18
Clear11 (28.2%)
-31.3%prior 16
Cloudy/Cloudy2 (5.1%)
Rain/Cloudy1 (2.6%)
Rain/Rain1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Weather condition at time of crash

Lighting

Daylight35 (89.7%)
12.9%prior 31
Dark - lighted roadway2 (5.1%)
-75.0%prior 8
Dark - roadway not lighted1 (2.6%)
Dusk1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Lighting condition field

Road Surface

Dry37 (94.9%)
0.0%prior 37
Wet2 (5.1%)
-60.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 79 in September 2024 to 66 in September 2025. Toyota remained the most frequently involved make, though its count decreased from 18 to 14. There was a notable decrease in persons aged 21-25 involved in crashes, falling from 23 to 11, and those aged 26-34, dropping from 21 to 7.

Top Vehicle Makes (66 vehicles)

1
TOYOTA14 (21.2%)
-22.2%prior 18
2
JEEP5 (7.6%)
-28.6%prior 7
3
BMW4 (6.1%)
4
FORD4 (6.1%)
5
HYUNDAI4 (6.1%)
6
SUBARU3 (4.5%)
7
HONDA3 (4.5%)
-70.0%prior 10
8
GMC2 (3%)
9
MERCEDES-BENZ2 (3%)
10
MITS2 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records

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

Sex Distribution (76 persons with recorded sex)

Male46 (60.5%)
-27.0%prior 63
Female30 (39.5%)
-16.7%prior 36

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 35 mph speed limit zone decreased from 7 in September 2024 to 2 in September 2025. Conversely, crashes in the 25 mph zone increased from 1 to 3, and crashes in the 40 mph zone, which had 0 crashes in the prior period, recorded 2 crashes in the current period. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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: 2025-09-01 through 2025-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-09-01 through 2025-09-30 (30 days)
  • Geographic scope: WESTWOOD, MA
  • Total crash records analyzed: 39
  • Total persons involved: 76
  • Total vehicles involved: 66

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). "WESTWOOD, MA Crash Intelligence Report: September 2025." Published June 21, 2026. Reporting period: 2025-09-01 to 2025-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westwood/september-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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Westwood, MA Crash Report — September 2025 | ThatCarHitMe.com