ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · FRAMINGHAM, MA · MARCH 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/framingham/march-2025-report
Monthly Traffic Safety Analysis
89 CRASHES IN
FRAMINGHAM, MA
MARCH 2025
Total crashes in FRAMINGHAM decreased from 124 in March 2024 to 89 in March 2025, a reduction of 28.23%. Total injuries also fell by 50%, from 42 to 21. The most notable shift was the occurrence of one fatal crash in March 2025, compared to zero fatal crashes in the prior year.
89
▼ -28.2%was 124
Total Crash Events
1
Persons Killed
21
▼ -50.0%was 42
Persons Injured
11
▼ -35.3%was 17
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 4 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash activity in FRAMINGHAM saw a notable decrease year-over-year. Total crashes fell by 28.23%, from 124 in March 2024 to 89 in March 2025. This reduction was accompanied by a 50% decrease in total injuries, from 42 to 21, though a fatal crash occurred in the current period compared to none in the prior.
11
Hit-and-Run Crashes — March 2025
▼ -35.3% vs prior (17)
Hit-and-run crashes decreased from 17 in March 2024 to 11 in March 2025, representing a 35.3% reduction in count. The hit-and-run rate also saw a slight decrease, moving from 13.7% of all crashes in March 2024 to 12.4% in March 2025. This indicates a downward trend in both the absolute number and the proportion of hit-and-run incidents.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
1
Pedestrians Injured
1
Cyclists Injured
19
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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 Thursday in both periods, though the count decreased from 23 in March 2024 to 15 in March 2025. The peak crash hour shifted from 1 PM with 10 crashes in March 2024 to 4 PM with 8 crashes in March 2025. Generally, crash counts were lower across most days of the week and hours in March 2025 compared to March 2024.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The most significant change in crash severity was the occurrence of one fatal crash in March 2025, resulting in a 1.12% fatal crash rate, compared to zero fatal crashes in March 2024. Total injury-involved crashes (Serious, Minor, Possible) decreased from 32 (25.81% share) in March 2024 to 15 (16.85% share) in March 2025. Specifically, minor injury crashes decreased from 18 to 6, and serious injury crashes, present at 2 in March 2024, were absent in March 2025.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record
Top Contributing Factors
"No improper driving" increased by 6 crashes (27.3%) from 22 in March 2024 to 28 in March 2025, becoming the top contributing factor. Conversely, "Failed to yield right of way" decreased by 11 crashes (-47.8%) from 23 to 12, dropping from the top factor to the second. Factors like "Failure to keep in proper lane or running off road" and "Driving too fast for conditions" saw significant count reductions, decreasing by 11 (-84.6%) and 6 (-100%) crashes respectively.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in clear weather conditions increased in proportion, accounting for 69.7% (62 crashes) in March 2025 compared to 62.9% (78 crashes) in March 2024. Similarly, crashes during daylight hours represented a larger share, rising from 63.7% (79 crashes) in March 2024 to 75.3% (67 crashes) in March 2025. The proportion of crashes on dry road surfaces remained relatively stable year-over-year, at 78.7% (70 crashes) in March 2025 compared to 76.6% (95 crashes) in March 2024.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased from 232 in March 2024 to 173 in March 2025. Toyota remained the most frequently involved make, though its count decreased from 47 to 29, while Honda also saw a reduction from 29 to 25. All age groups for persons involved in crashes, except for 21-25 year olds who remained stable at 26 persons, experienced a decrease in counts, with the 0-15 and 16-20 age groups each decreasing by 15 persons.
Top Vehicle Makes (173 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records
34 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (178 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Person-level records linked to crash events
Speed Limit Zones
The number of crashes reported in speed zones decreased across most categories year-over-year, including 30 mph zones which saw a reduction from 11 to 3 crashes. Crashes in 45 mph zones increased from 0 in March 2024 to 2 in March 2025. No fatalities were recorded in any of the specified speed limit zones for either period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-03-01 through 2025-03-31 (31 days)
- Geographic scope: FRAMINGHAM, MA
- Total crash records analyzed: 89
- Total persons involved: 221
- Total vehicles involved: 173
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). "FRAMINGHAM, MA Crash Intelligence Report: March 2025." Published June 21, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/framingham/march-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: 2025-03-01 – 2025-03-31
Generated: June 21, 2026 · All rights reserved