ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · FEBRUARY 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/february-2025-report
Monthly Traffic Safety Analysis
10,617 CRASHES IN
MASSACHUSETTS, MA
FEBRUARY 2025
Total crashes were 10,617 in February 2025 and 9,376 in February 2024, a 13.2% year-over-year increase. While total crashes rose, the most significant shift was a 333% surge in crashes attributed to "Driving too fast for conditions," which increased from 164 to 710 incidents. This change corresponds with a substantial increase in crashes reported on snowy and icy road surfaces.
10,617
▲ 13.2%was 9,376
Total Crash Events
24
▲ 20.0%was 20
Persons Killed
2,640
▼ -0.8%was 2,662
Persons Injured
977
▲ 12.0%was 872
Hit-and-Run Crashes
Note: "Persons Killed" (24) counts individual fatalities across all crash events. "Fatal" in the severity table below (23) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 476 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends show a notable increase in February 2025 compared to the previous year. Total crashes rose by 13.2% from 9,376 to 10,617, and fatalities increased by 20% from 20 to 24. However, the total number of injuries reported remained nearly unchanged, decreasing by less than 1% from 2,662 to 2,640.
977
Hit-and-Run Crashes — February 2025
▲ 12.0% vs prior (872)
The total number of hit-and-run crashes increased from 872 in February 2024 to 977 in February 2025. Despite this rise in absolute count, the hit-and-run rate as a percentage of total crashes saw a slight decrease. The rate was 9.3% in the prior period and declined marginally to 9.2% in the current period.
Vulnerable Road User Casualties
8
Pedestrians Killed
1
Cyclists Killed
15
Motorists Killed
0
Other Killed
92
Pedestrians Injured
29
Cyclists Injured
2,508
Motorists Injured
11
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · 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 consistent year-over-year. The peak day for crashes in both February 2025 (1,743 crashes) and February 2024 (1,806 crashes) was Thursday. Similarly, the afternoon commute hour of 3 PM was the peak hour in both periods, accounting for 822 crashes in the current period and 758 in the prior period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The distribution of crash severity shifted slightly between the two periods. While the proportion of fatal crashes remained stable at 0.2% of all incidents, the share of serious injury crashes decreased from 1.5% (142 crashes) to 1.1% (116 crashes). Conversely, crashes resulting in no injury saw their share increase from 73.6% to 76.3% of the total.
Severity is per crash event (most severe injury). 23 fatal crash events resulted in 24 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Most severe injury per crash record
Top Contributing Factors
The top three contributing factors—"No improper driving," "Inattention," and "Failed to yield right of way"—retained their rankings year-over-year. However, the count of crashes attributed to "Driving too fast for conditions" dramatically increased by 333%, from 164 incidents in February 2024 to 710 in February 2025. In contrast, crashes involving "Inattention" decreased in count by 8% from 1,308 to 1,203.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
A significant year-over-year change was observed in road surface conditions at the time of crashes. Collisions on snowy surfaces increased from 324 to 1,771, and crashes on icy surfaces rose from 90 to 900. This indicates a much higher prevalence of adverse road conditions in February 2025 compared to the same month in the prior year. Lighting conditions remained proportionally similar, with daylight crashes accounting for the majority in both periods.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Road surface condition field
Vehicles & Demographics
Vehicle and person demographics involved in crashes showed high stability year-over-year. The top three vehicle makes involved in collisions were Toyota, Honda, and Ford in both February 2025 and February 2024, with their rankings unchanged. Likewise, the age distribution of all persons involved in crashes remained consistent, with no notable shifts in the proportions of any specific age group.
Top Vehicle Makes (19,101 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Vehicle unit records
2,676 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (20,450 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Person-level records linked to crash events
Speed Limit Zones
Crash distribution across speed zones saw notable changes. Crashes in 25 mph zones increased from 1,946 to 2,710, while those in 65 mph zones rose from 534 to 761. Fatal crashes increased in 30 mph zones from 4 to 7, while the number of fatal crashes in 25 mph and 65 mph zones remained unchanged at 6 and 2, respectively.
Fatal crashes by zone: 25 mph: 6 of 2,710 (0.221%) · 30 mph: 7 of 2,535 (0.276%) · 35 mph: 1 of 1,210 (0.083%) · 40 mph: 1 of 784 (0.128%) · 45 mph: 1 of 337 (0.297%) · 55 mph: 2 of 438 (0.457%) · 65 mph: 2 of 761 (0.263%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · 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: 2025-02-01 through 2025-02-28
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-02-01 through 2025-02-28 (28 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 10,617
- Total persons involved: 23,265
- Total vehicles involved: 19,101
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: February 2025." Published June 21, 2026. Reporting period: 2025-02-01 to 2025-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/february-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: 2025-02-01 – 2025-02-28
Generated: June 21, 2026 · All rights reserved