Monthly Traffic Safety Analysis

35 CRASHES IN
WESTON, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

Total crashes in Weston decreased significantly from 54 in March 2024 to 35 in March 2025, marking a 35.2% reduction year-over-year. The most notable shift was the substantial decrease in overall crash incidents.

35

▼ -35.2%was 54

Total Crash Events

0

Persons Killed

15

▲ 7.1%was 14

Persons Injured

1

▼ -75.0%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.

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

Overall, the trend for crashes in Weston is downward, with a significant decrease in total incidents. The number of crashes fell by 19, from 54 in March 2024 to 35 in March 2025, representing a 35.2% reduction.

1

Hit-and-Run Crashes — March 2025

▼ -75.0% vs prior (4)

Hit-and-run crashes decreased significantly year-over-year, from 4 incidents in March 2024 to 1 incident in March 2025, a 75% reduction. Consequently, the hit-and-run rate declined from 7.4% of all crashes to 2.9%.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

15

Motorists Injured

Prior: 14↑7.1%

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 temporal patterns for crashes shifted year-over-year; the peak day for crashes moved from Wednesday with 12 incidents in March 2024 to Monday with 7 incidents in March 2025. Similarly, the peak hour changed from 8 AM with 11 crashes in March 2024 to 5 PM with 6 crashes in March 2025.

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. While serious injury crashes remained at 1 in count, their share of total crashes increased from 1.9% in March 2024 to 2.9% in March 2025. Minor injury crashes decreased from 8 to 6, with their share increasing from 14.8% to 17.1% of all crashes.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.9%
→0.0%prior 1
Minor Injury6minor injury crashes17.1%
↓-25.0%prior 8
Possible Injury2possible injury crashes5.7%
→0.0%prior 2
No Injury26no injury crashes74.3%
↓-39.5%prior 43

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

The leading contributing factor, 'Followed too closely,' saw a 50% decrease in count, dropping from 22 crashes in March 2024 to 11 crashes in March 2025. 'Failed to yield right of way' also decreased by 42.9% in count, from 7 crashes to 4 crashes. Conversely, 'Inattention' increased by 100% in count, from 2 crashes in March 2024 to 4 crashes in March 2025.

Officer-Reported Primary Contributing Cause

Followed too closely11 (31.4%)↓-50.0%prior 22
Inattention4 (11.4%)
Failure to keep in proper lane or running off road4 (11.4%)
Failed to yield right of way4 (11.4%)↓-42.9%prior 7
No improper driving3 (8.6%)
Made an improper turn2 (5.7%)
Disregarded traffic signs, signals, road markings1 (2.9%)
Distracted1 (2.9%)
Exceeded authorized speed limit1 (2.9%)
Fatigued/asleep1 (2.9%)

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 in 'Clear' weather conditions decreased from 28 in March 2024 to 20 in March 2025. Incidents on 'Wet' road surfaces saw a substantial decrease, falling from 17 crashes in the prior period to 3 crashes in the current period. Crashes during 'Daylight' conditions also decreased from 48 to 29 year-over-year, while crashes during 'Dusk' increased from 1 to 3.

Weather

Clear20 (57.1%)
↓-28.6%prior 28
Clear/Clear6 (17.1%)
Clear/Cloudy5 (14.3%)
→0.0%prior 5
Cloudy/Cloudy3 (8.6%)
Rain1 (2.9%)
↓-87.5%prior 8

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

Lighting

Daylight29 (82.9%)
↓-39.6%prior 48
Dusk3 (8.6%)
Dark - roadway not lighted2 (5.7%)
Dark - lighted roadway1 (2.9%)

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

Road Surface

Dry32 (91.4%)
↓-13.5%prior 37
Wet3 (8.6%)
↓-82.4%prior 17

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 decreased from 114 in March 2024 to 73 in March 2025. Toyota remained the top make involved, though its count decreased from 15 to 13. The age group 26-34 represented the largest share of persons involved in crashes in March 2025 with 24 individuals, compared to 21 in March 2024, despite an overall decrease in total persons involved across all age groups.

Top Vehicle Makes (73 vehicles)

1
TOYOTA13 (17.8%)
↓-13.3%prior 15
2
HONDA8 (11%)
↓-11.1%prior 9
3
FORD7 (9.6%)
↓-50.0%prior 14
4
CHEVROLET7 (9.6%)
5
SUBARU5 (6.8%)
↓-50.0%prior 10
6
JEEP4 (5.5%)
↓-33.3%prior 6
7
TESL3 (4.1%)
8
NISSAN3 (4.1%)
↓-50.0%prior 6
9
HYUNDAI2 (2.7%)
10
VOLKSWAGEN2 (2.7%)

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

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

Sex Distribution (79 persons with recorded sex)

Male47 (59.5%)
↓-34.7%prior 72
Female32 (40.5%)
↓-34.7%prior 49

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 in 35 mph speed zones saw a notable decrease, falling from 18 in March 2024 to 5 in March 2025. Similarly, crashes in 55 mph zones decreased from 8 to 4, and in 65 mph zones from 8 to 6. No fatal crashes were recorded in any speed zone during 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: WESTON, MA
  • Total crash records analyzed: 35
  • Total persons involved: 83
  • Total vehicles involved: 73

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). "WESTON, 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/weston/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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Weston, MA Crash Report — March 2025 | ThatCarHitMe.com