ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · OCTOBER 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/statewide/october-2025-report
Monthly Traffic Safety Analysis
11,923 CRASHES IN
MASSACHUSETTS, MA
OCTOBER 2025
In October 2025, there were 11,923 total traffic crashes, a figure that remained nearly stable compared to the 11,908 crashes in October 2024, representing a 0.13% increase. While overall crash volume was consistent, the most significant year-over-year change was an 18.8% increase in traffic fatalities, which rose from 32 to 38. Concurrently, the number of persons injured in crashes decreased by 3.2% from 3,895 to 3,770.
11,923
▲ 0.1%was 11,908
Total Crash Events
38
▲ 18.8%was 32
Persons Killed
3,770
▼ -3.2%was 3,895
Persons Injured
1,127
▲ 9.8%was 1,026
Hit-and-Run Crashes
Note: "Persons Killed" (38) counts individual fatalities across all crash events. "Fatal" in the severity table below (37) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 377 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data indicates a stable trend in the total number of crashes, with an increase of just 15 incidents from October 2024 to October 2025. However, the severity of outcomes worsened, as fatalities increased by 18.8% (from 32 to 38). This was contrasted by a 3.2% decrease in the total number of injuries recorded.
1,127
Hit-and-Run Crashes — October 2025
▲ 9.8% vs prior (1,026)
Hit-and-run incidents increased from October 2024 to October 2025. The total count of hit-and-run crashes rose by 9.8%, from 1,026 to 1,127. Consequently, the hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, trended upward from 8.6% to 9.5%.
Vulnerable Road User Casualties
11
Pedestrians Killed
0
Cyclists Killed
27
Motorists Killed
0
Other Killed
149
Pedestrians Injured
141
Cyclists Injured
3,437
Motorists Injured
43
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · 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 a slight shift between the two periods. In October 2025, the peak day for crashes was Friday with 2,255 incidents, a change from the prior year's peak on Thursday, which saw 2,020 crashes. The peak hour also shifted slightly earlier, from the 4 PM hour in 2024 (1,014 crashes) to the 3 PM hour in 2025 (1,019 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity outcomes worsened year-over-year, with the number of fatal crashes increasing from 32 to 37 and the total number of fatalities rising from 32 to 38. This represents an increase in the fatal crash rate from 0.27% to 0.31% of all crashes. The proportion of crashes resulting in any level of injury (serious, minor, or possible) saw a slight decrease, from 24.3% of all crashes in the prior period to 23.5% in the current period.
Severity is per crash event (most severe injury). 37 fatal crash events resulted in 38 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors remained consistent, with 'No improper driving,' 'Inattention,' and 'Failed to yield right of way' as the top three in both periods. However, the number of crashes attributed to 'Failed to yield right of way' increased by 7.3%, from 1,350 to 1,448 incidents. Notably, crashes involving 'Driving too fast for conditions' saw a 95.7% increase in count, rising from 117 to 229 incidents year-over-year.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
There was a significant shift in the conditions under which crashes occurred, primarily related to weather. The number of crashes on wet road surfaces increased from 764 in October 2024 to 2,020 in October 2025. This corresponds with a substantial rise in crashes during rainy weather. Lighting conditions remained relatively stable, with crashes in daylight accounting for 66.7% of incidents in 2025, compared to 67.3% in 2024.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Road surface condition field
Vehicles & Demographics
The demographic data for vehicles and persons involved in crashes remained stable year-over-year. The top five vehicle makes involved in crashes—Toyota, Honda, Ford, Chevrolet, and Nissan—were identical in both October 2024 and October 2025, with minimal changes in their respective counts. Similarly, the age distribution of persons involved in crashes showed no significant shifts between the two periods.
Top Vehicle Makes (22,502 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Vehicle unit records
2,911 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (24,762 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones saw some changes, with increases in the 25 mph, 40 mph, and 55 mph zones. Fatalities also shifted, with the number of deaths in 40 mph zones increasing from 1 to 6 and in 55 mph zones from 1 to 4. Conversely, fatalities in 30 mph zones decreased from 5 to 3. The total number of fatal crashes in 25 mph zones also rose from 5 to 8.
Fatal crashes by zone: 15 mph: 2 of 203 (0.985%) · 20 mph: 1 of 362 (0.276%) · 25 mph: 8 of 2,762 (0.29%) · 30 mph: 3 of 2,944 (0.102%) · 35 mph: 5 of 1,454 (0.344%) · 40 mph: 6 of 905 (0.663%) · 45 mph: 2 of 422 (0.474%) · 50 mph: 2 of 271 (0.738%) · 55 mph: 4 of 575 (0.696%) · 60 mph: 1 of 50 (2%) · 65 mph: 3 of 758 (0.396%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · 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: 2025-10-01 through 2025-10-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-10-01 through 2025-10-31 (31 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 11,923
- Total persons involved: 27,905
- Total vehicles involved: 22,502
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). "massachusetts, MA Crash Intelligence Report: October 2025." Published June 21, 2026. Reporting period: 2025-10-01 to 2025-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/october-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-10-01 – 2025-10-31
Generated: June 21, 2026 · All rights reserved