ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · FOXBOROUGH, 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/foxborough/2025-annual-report
Yearly Traffic Safety Analysis
569 CRASHES IN
FOXBOROUGH, MA
2025
In 2025, Foxborough recorded 569 total crashes, a 1.6% increase from the 560 crashes documented in 2024. Despite the slight rise in total incidents, the number of traffic fatalities decreased from 5 in the prior year to 2 in the current year. However, the total number of injuries increased from 169 to 190 during the same period.
569
▲ 1.6%was 560
Total Crash Events
2
▼ -60.0%was 5
Persons Killed
190
▲ 12.4%was 169
Persons Injured
50
▲ 42.9%was 35
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 12 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 crash volume in Foxborough remained relatively stable, with a slight 1.6% increase from 560 incidents in 2024 to 569 in 2025. While total crashes saw a minor rise, the number of resulting injuries increased by 12.4%, from 169 to 190. Conversely, traffic fatalities saw a substantial decrease from 5 in the prior year to 2 in the current year.
50
Hit-and-Run Crashes — 2025
▲ 42.9% vs prior (35)
Hit-and-run incidents increased significantly in 2025 compared to the previous year. The total count of hit-and-run crashes rose by 42.9%, from 35 in 2024 to 50 in 2025. Consequently, the hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, also trended upward from 6.3% to 8.8%.
Vulnerable Road User Casualties
0
Cyclists Killed
2
Motorists Killed
0
Other Killed
5
Cyclists Injured
184
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 showed some shifts between 2024 and 2025. The peak day for crashes moved from Thursday (104 crashes) in 2024 to Wednesday (88 crashes) in 2025. The 4 PM hour remained the single busiest hour for crashes in both periods, although the count within that hour decreased from 71 to 56 year-over-year.
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 outcomes improved in 2025, with the number of fatal crashes decreasing from 4 to 2 and the fatality rate per 100 crashes dropping from 0.71 to 0.35. While fatal incidents declined, crashes resulting in injuries saw a proportional increase. The share of crashes involving minor injuries rose from 12.9% in 2024 to 14.8% in 2025, and serious injury crashes increased slightly from 2.1% to 2.3% of all incidents.
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
The leading contributing factors for crashes in Foxborough remained consistent, with 'No improper driving,' 'Followed too closely,' and 'Inattention' being the top three cited factors in both 2024 and 2025. However, the number of crashes attributed to specific driver actions shifted. Crashes involving 'Failure to keep in proper lane or running off road' increased by 33.3% from 33 to 44 incidents, and those involving an 'Improper turn' doubled in count from 9 to 18.
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 in both 2024 and 2025 predominantly occurred in clear weather and on dry road surfaces, with no significant year-over-year shift in these conditions. The number of crashes happening during daylight hours increased from 393 to 420, while those on dark, lighted roadways decreased from 93 to 79. Regarding road surface conditions, crashes on snow-covered roads fell from 26 to 13, but incidents on icy roads increased from 3 to 10.
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 Toyota, Honda, and Ford, though their order shifted, with Honda (131 vehicles) surpassing Ford (120 vehicles) for the second spot in 2025. Analysis of persons involved shows a demographic shift, with the 26-34 age group becoming the most frequently involved, increasing from 211 individuals in 2024 to 254 in 2025. The number of persons aged 65 and older involved in crashes also rose from 148 to 165.
Top Vehicle Makes (1,146 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
155 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,265 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 in 65 mph zones remained the most numerous in both periods but saw a notable decrease from 171 incidents in 2024 to 141 in 2025. The number of crashes in other common speed zones, such as 30 mph and 35 mph, remained relatively stable. In 2024, fatal crashes were recorded in 35 mph, 45 mph, and 65 mph zones, while in 2025, the single fatal crash with a recorded speed limit occurred in a 65 mph zone.
Fatal crashes by zone: 65 mph: 1 of 141 (0.709%)
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: FOXBOROUGH, MA
- Total crash records analyzed: 569
- Total persons involved: 1,438
- Total vehicles involved: 1,146
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). "FOXBOROUGH, 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/foxborough/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