Monthly Traffic Safety Analysis

33 CRASHES IN
WESTWOOD, MA
FEBRUARY 2025

All metrics benchmarked againstFebruary 2024

In February 2025, Westwood experienced 33 crashes, a decrease of 15.4% compared to the 39 crashes reported in February 2024. Despite the overall reduction in crashes, total injuries saw a significant increase, rising from 3 in the prior year to 9 in the current period, representing a 200% increase.

33

-15.4%was 39

Total Crash Events

0

Persons Killed

9

200.0%was 3

Persons Injured

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 · 2025-02-01 to 2025-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in Westwood showed a declining trend, with total crashes decreasing by 15.4% from 39 in February 2024 to 33 in February 2025. Fatalities remained stable at zero in both periods, while total injuries significantly increased by 200%, from 3 to 9.

1

Hit-and-Run Crashes — February 2025

0.0% vs prior (1)

The number of hit-and-run crashes remained consistent at 1 incident in both February 2024 and February 2025. However, due to a decrease in overall crashes, the hit-and-run rate slightly increased from 2.6% in the prior period to 3% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

9

Motorists Injured

Prior: 3200.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes in Westwood remained largely consistent year-over-year, with Friday continuing to be the peak day for crashes, recording 9 incidents in February 2025 compared to 10 in February 2024. Similarly, 3 PM remained the peak hour for crashes, albeit with a slight decrease from 6 crashes in February 2024 to 5 crashes in February 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero for both February 2024 and February 2025. However, there was a significant increase in injury-involved crashes, with total injuries rising from 3 in the prior period to 9 in the current period. Specifically, crashes resulting in minor injuries increased from 2 (5.1% of all crashes) to 6 (18.2% of all crashes) year-over-year.

Outcome by Severity (Crash Events)

Minor Injury6minor injury crashes18.2%
200.0%prior 2
Possible Injury1possible injury crashes3%
0.0%prior 1
No Injury26no injury crashes78.8%
-23.5%prior 34

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors shifted year-over-year; 'Followed too closely' increased by 80% in count, rising from 5 crashes in February 2024 to 9 crashes in February 2025, becoming the top factor. Conversely, 'Inattention' crashes decreased by 40% in count, from 10 to 6, dropping to the second position. Crashes due to 'Failure to keep in proper lane or running off road' also increased significantly from 1 to 4 incidents.

Officer-Reported Primary Contributing Cause

Followed too closely9 (27.3%)80.0%prior 5
Inattention6 (18.2%)-40.0%prior 10
No improper driving4 (12.1%)
Failed to yield right of way4 (12.1%)
Failure to keep in proper lane or running off road4 (12.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (6.1%)
Disregarded traffic signs, signals, road markings1 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring under clear weather conditions decreased from 26 in February 2024 to 24 in February 2025, while crashes during adverse weather (snow, sleet, rain) increased from 2 to 5. Similarly, crashes on dry road surfaces decreased from 34 to 26 year-over-year. Crashes occurring in dark conditions (lighted or unlighted) increased from 8 incidents in the prior period to 11 in the current period.

Weather

Clear/Clear14 (42.4%)
-6.7%prior 15
Clear10 (30.3%)
-9.1%prior 11
Cloudy/Cloudy2 (6.1%)
-66.7%prior 6
Snow/Snow2 (6.1%)
Sleet, hail (freezing rain or drizzle)1 (3.0%)
Unknown/Unknown1 (3.0%)
Clear/Cloudy1 (3.0%)
Rain1 (3.0%)
Rain/Rain1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Weather condition at time of crash

Lighting

Daylight22 (66.7%)
-26.7%prior 30
Dark - lighted roadway9 (27.3%)
28.6%prior 7
Dark - roadway not lighted2 (6.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Lighting condition field

Road Surface

Dry26 (81.3%)
-23.5%prior 34
Wet3 (9.4%)
Snow2 (6.3%)
Ice1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Road surface condition field

Vehicles & Demographics

The number of Toyota vehicles involved in crashes decreased from 15 in February 2024 to 8 in February 2025, while Ford vehicles also saw a reduction from 10 to 5. Notably, Tesla (TESL) vehicles involved in crashes increased from 1 to 5, and Jeep vehicles increased from 2 to 6. Regarding persons involved, the 21-25 age group saw an increase from 5 to 12 individuals, while the 65+ age group decreased from 11 to 7.

Top Vehicle Makes (66 vehicles)

1
TOYOTA8 (12.1%)
-46.7%prior 15
2
HONDA7 (10.6%)
16.7%prior 6
3
JEEP6 (9.1%)
4
FORD5 (7.6%)
-50.0%prior 10
5
TESL5 (7.6%)
6
MERCEDES-BENZ4 (6.1%)
7
CHEVROLET4 (6.1%)
8
NISSAN3 (4.5%)
9
HYUNDAI3 (4.5%)
10
SUBARU3 (4.5%)
-40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Vehicle unit records

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

Sex Distribution (74 persons with recorded sex)

Male40 (54.1%)
-9.1%prior 44
Female34 (45.9%)
17.2%prior 29

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 30 mph zones decreased slightly from 14 in February 2024 to 13 in February 2025. There was also a decrease in crashes within 55 mph zones, from 6 to 4 incidents. Conversely, crashes in 1 mph zones increased from 7 to 8, and those in 50 mph zones increased from 1 to 3.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · 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: 2025-02-01 through 2025-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-02-01 through 2025-02-28 (28 days)
  • Geographic scope: WESTWOOD, MA
  • Total crash records analyzed: 33
  • 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: February 2025." Published June 21, 2026. Reporting period: 2025-02-01 to 2025-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westwood/february-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

ThatCarHitMe.com · An Injuria.ai Company

Westwood, MA Crash Report — February 2025 | ThatCarHitMe.com