Monthly Traffic Safety Analysis

59 CRASHES IN
WESTON, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, WESTON experienced 59 total crashes, a decrease from the 71 crashes reported in May 2024. This represents a 16.9% reduction in total crashes year-over-year. The most notable shift was a significant decrease in total injuries, falling from 25 in May 2024 to 11 in May 2025, a 56.0% reduction.

59

▼ -16.9%was 71

Total Crash Events

0

Persons Killed

11

▼ -56.0%was 25

Persons Injured

4

▼ -33.3%was 6

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 · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in WESTON saw a downward trend year-over-year, with total crashes decreasing by 12, or 16.9%. Correspondingly, total injuries also significantly declined by 14, representing a 56.0% decrease. No fatalities were reported in either period.

4

Hit-and-Run Crashes — May 2025

▼ -33.3% vs prior (6)

The number of hit-and-run crashes decreased from 6 in May 2024 to 4 in May 2025. This resulted in a decrease in the hit-and-run crash rate from 8.5% to 6.8% year-over-year, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

0

Other Killed

Prior: 0→0.0%

10

Motorists Injured

Prior: 24↓-58.3%

1

Other Injured

Prior: 0→%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Friday in both periods, with 17 crashes in May 2025 compared to 19 in May 2024. The peak hour for crashes shifted from 5 p.m. in May 2024 (9 crashes) to 3 p.m. in May 2025 (10 crashes).

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either May 2025 or May 2024. The proportion of crashes involving any injury (Minor or Possible) decreased from 18.3% (13 crashes) in May 2024 to 13.6% (8 crashes) in May 2025. Serious injuries were reported in May 2024 (1 crash) but not in May 2025.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes8.5%
↓-28.6%prior 7
Possible Injury3possible injury crashes5.1%
↓-40.0%prior 5
No Injury51no injury crashes86.4%
↓-12.1%prior 58

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'Followed too closely,' decreased from 28 crashes in May 2024 to 19 crashes in May 2025, a 32.1% reduction in count. Conversely, 'Inattention' increased significantly from 4 crashes in May 2024 to 12 crashes in May 2025, a 200.0% increase in count. 'No improper driving' decreased from 8 crashes to 5 crashes.

Officer-Reported Primary Contributing Cause

Followed too closely19 (32.2%)↓-32.1%prior 28
Inattention12 (20.3%)
No improper driving5 (8.5%)↓-37.5%prior 8
Failure to keep in proper lane or running off road5 (8.5%)→0.0%prior 5
Failed to yield right of way4 (6.8%)↓-20.0%prior 5
Exceeded authorized speed limit3 (5.1%)
Driving too fast for conditions2 (3.4%)↓-60.0%prior 5
Glare1 (1.7%)
Fatigued/asleep1 (1.7%)
Made an improper turn1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' or 'Clear/Clear' weather conditions decreased from 45 in May 2024 to 38 in May 2025. The number of crashes on 'Wet' road surfaces also decreased from 14 in May 2024 to 8 in May 2025. Crashes occurring during 'Daylight' conditions decreased from 64 to 55.

Weather

Clear22 (37.3%)
↓-51.1%prior 45
Clear/Clear16 (27.1%)
Cloudy/Cloudy5 (8.5%)
Clear/Cloudy5 (8.5%)
Rain3 (5.1%)
Rain/Rain3 (5.1%)
Cloudy/Clear2 (3.4%)
Cloudy1 (1.7%)
↓-91.7%prior 12
Rain/Cloudy1 (1.7%)
Rain/Severe crosswinds1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash

Lighting

Daylight55 (93.2%)
↓-14.1%prior 64
Dark - lighted roadway2 (3.4%)
Dark - roadway not lighted2 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Lighting condition field

Road Surface

Dry51 (86.4%)
↓-10.5%prior 57
Wet8 (13.6%)
↓-42.9%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field

Vehicles & Demographics

The top vehicle makes involved in crashes saw a shift in ranking, with Toyota becoming the most frequent in May 2025 (22 vehicles) compared to Honda in May 2024 (20 vehicles). The 26-34 age group saw a decrease in persons involved from 39 in May 2024 to 22 in May 2025. The 0-15 age group saw an increase from 4 persons in May 2024 to 11 persons in May 2025.

Top Vehicle Makes (121 vehicles)

1
TOYOTA22 (18.2%)
↑83.3%prior 12
2
HONDA11 (9.1%)
↓-45.0%prior 20
3
FORD10 (8.3%)
↓-41.2%prior 17
4
CHEVROLET7 (5.8%)
↓-22.2%prior 9
5
VOLKSWAGEN6 (5%)
6
JEEP5 (4.1%)
↓-50.0%prior 10
7
SUBARU5 (4.1%)
→0.0%prior 5
8
NISSAN5 (4.1%)
9
MAZDA5 (4.1%)
10
LEXUS4 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records

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

Sex Distribution (142 persons with recorded sex)

Male97 (68.3%)
↓-7.6%prior 105
Female45 (31.7%)
↓-26.2%prior 61

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Person-level records linked to crash events

Speed Limit Zones

No fatal crashes were recorded in any speed limit zone for either period. Crashes in the 55 mph speed zone decreased from 18 in May 2024 to 8 in May 2025. The 40 mph speed zone also saw a decrease from 10 crashes to 5 crashes year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-05-01 through 2025-05-31 (31 days)
  • Geographic scope: WESTON, MA
  • Total crash records analyzed: 59
  • Total persons involved: 150
  • Total vehicles involved: 121

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: May 2025." Published June 21, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/weston/may-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 — May 2025 | ThatCarHitMe.com