ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WESTON, MA · 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/weston/2025-annual-report
Yearly Traffic Safety Analysis
640 CRASHES IN
WESTON, MA
2025
In 2025, Weston recorded 640 traffic crashes, a 17.6% decrease from the 777 crashes documented in 2024. This overall decline was accompanied by a significant reduction in crash severity, with total fatalities dropping from three in the prior year to zero in the current year. While most metrics saw a decrease, hit-and-run incidents increased from 37 to 50.
640
▼ -17.6%was 777
Total Crash Events
0
▼ -100.0%was 3
Persons Killed
142
▼ -19.3%was 176
Persons Injured
50
▲ 35.1%was 37
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. 3 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Weston saw a significant year-over-year decline, falling by 17.6% from 777 in 2024 to 640 in 2025. This downward trend extended to crash outcomes, with total injuries decreasing by 19.3% from 176 to 142, and fatalities dropping to zero from three in the previous year.
50
Hit-and-Run Crashes — 2025
▲ 35.1% vs prior (37)
The number of hit-and-run crashes increased from 37 in 2024 to 50 in 2025, representing a 35.1% rise in count. This increase occurred even as the total number of crashes in the city declined. Consequently, the hit-and-run rate, which is the percentage of total crashes that were hit-and-runs, trended upward from 4.8% in the prior year to 7.8% in the current year.
Vulnerable Road User Casualties
0
Motorists Killed
0
Other Killed
141
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained largely consistent year-over-year, despite a general decrease in volume. Friday continued to be the peak day for crashes in both 2025 (109 incidents) and 2024 (147 incidents). Similarly, the 5 p.m. hour was the most frequent time for crashes in both periods, accounting for 57 crashes in the current year and 84 in the prior year. The overall daily and hourly distributions did not show significant shifts in their core patterns.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity improved significantly year-over-year, with fatal crashes dropping from two in 2024 to zero in 2025, and total fatalities falling from three to zero. The number of crashes resulting in serious injuries also decreased from six to four. Overall, the proportion of crashes involving any level of injury (serious, minor, or possible) saw a slight decrease, from 17.5% of all crashes in 2024 to 16.7% in 2025.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
In both periods, 'Followed too closely' was the leading contributing factor, though its count decreased by 29.9% from 274 incidents in 2024 to 192 in 2025. A notable shift occurred in the rankings, with 'Inattention' rising to become the second most-cited factor in 2025, with its count increasing by 56.6% from 53 to 83 crashes. Conversely, crashes attributed to 'Driving too fast for conditions' were halved, falling from 72 incidents to 36.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurred predominantly in clear weather and on dry roads in both years, but the proportion of incidents happening in adverse conditions decreased in 2025. Crashes on non-dry road surfaces (wet, snow, ice, or slush) accounted for 20.3% of the total in 2025, down from 23.2% in 2024. The proportion of crashes occurring in low-light conditions (dark, dusk, or dawn) saw a slight increase from 24.7% of all crashes in 2024 to 27.8% in 2025.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained consistent year-over-year: Toyota, Honda, and Ford. While the number of Toyotas involved increased slightly from 230 to 248, both Honda (173 to 125) and Ford (160 to 106) saw decreases. The age demographics of persons involved in collisions showed a stable pattern, with the 26-34 age group being the most represented in both 2024 (344 persons) and 2025 (273 persons).
Top Vehicle Makes (1,270 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
150 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,383 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes decreased across most posted speed limit zones year-over-year, with the most significant reduction occurring in 35 mph zones, where crashes fell from 217 in 2024 to 129 in 2025. Collisions in higher speed zones (55 mph and 65 mph) also declined from a combined 297 incidents to 224. Notably, the two fatal crashes recorded in 2024 both occurred in a 40 mph zone, while no fatal crashes were recorded in any speed zone in 2025.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: WESTON, MA
- Total crash records analyzed: 640
- Total persons involved: 1,542
- Total vehicles involved: 1,270
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: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/weston/2025-annual-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-01-01 – 2025-12-31
Generated: June 21, 2026 · All rights reserved