ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · FRAMINGHAM, MA · MARCH 2026
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-2026-report
Monthly Traffic Safety Analysis
90 CRASHES IN
FRAMINGHAM, MA
MARCH 2026
In March 2026, FRAMINGHAM experienced 90 crashes, a slight increase from the 89 crashes reported in March 2025, representing a 1.12% rise. Total fatalities, however, doubled from 1 in March 2025 to 2 in March 2026. Total injuries also saw an increase, rising from 21 to 24, a 14.29% change.
90
▲ 1.1%was 89
Total Crash Events
2
▲ 100.0%was 1
Persons Killed
24
▲ 14.3%was 21
Persons Injured
14
▲ 27.3%was 11
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. 9 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash data for March 2026 in FRAMINGHAM shows a slight upward trend compared to March 2025. Total crashes increased by 1.12%, from 89 to 90. More significantly, fatalities doubled from 1 to 2, and injuries rose by 14.29% from 21 to 24.
14
Hit-and-Run Crashes — March 2026
▲ 27.3% vs prior (11)
Hit-and-run crashes increased from 11 in March 2025 to 14 in March 2026. This represents an increase in the hit-and-run rate from 12.4% of total crashes in the prior period to 15.6% in the current period, indicating an upward trend.
Vulnerable Road User Casualties
0
Cyclists Killed
2
Motorists Killed
1
Cyclists Injured
23
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted year-over-year. The peak day for crashes moved from Thursday with 15 crashes in March 2025 to Monday with 18 crashes in March 2026. Similarly, the peak hour for crashes shifted from 4 PM (8 crashes) in March 2025 to 5 PM (10 crashes) in March 2026. Notably, crashes on Thursdays decreased from 15 to 8, and on Fridays from 14 to 7.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity distribution of crashes changed, with fatal crashes doubling from 1 in March 2025 to 2 in March 2026, increasing their share from 1.1% to 2.2% of all crashes. Minor injury crashes decreased from 6 to 5, while possible injury crashes increased from 9 to 11. Consequently, crashes with no injury decreased from 69 to 63, reducing their proportion of total crashes from 77.5% to 70%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Most severe injury per crash record
Top Contributing Factors
The contributing factors show notable shifts year-over-year. Crashes attributed to 'Failure to keep in proper lane or running off road' increased substantially from 2 in March 2025 to 9 in March 2026. Conversely, 'Failed to yield right of way' crashes decreased from 12 to 6, and 'Followed too closely' incidents dropped from 10 to 8. 'Inattention' crashes increased from 4 to 6.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'Clear/Clear' weather decreased from 45 in March 2025 to 40 in March 2026, while 'Rain/Rain' incidents dropped from 7 to 2. The current period also saw 3 crashes in 'Snow' conditions, which were not present in the prior year. Under lighting conditions, 'Daylight' crashes decreased from 67 to 47, while 'Dark - lighted roadway' crashes increased from 16 to 27, and 'Dark - roadway not lighted' crashes rose from 1 to 6. On road surfaces, 'Dry' crashes decreased from 70 to 64, with 'Snow', 'Ice', and 'Slush' conditions appearing in March 2026 but not in March 2025.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained largely consistent, with TOYOTA increasing from 29 to 31 and FORD from 18 to 19, while HONDA decreased from 25 to 24. NISSAN crashes decreased from 10 to 7, and GMC crashes decreased from 9 to 2. Regarding age distribution, most groups saw fewer persons involved in crashes, with the 35-44 age group experiencing the largest drop from 42 to 20 persons. Conversely, the 45-54 age group saw an increase from 18 to 28 persons involved.
Top Vehicle Makes (163 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Vehicle unit records
34 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (146 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 25 mph zones increased from 3 in March 2025 to 5 in March 2026, while those in 30 mph zones decreased from 3 to 2. Crashes in 65 mph zones increased from 7 to 10, with one fatal crash recorded in this zone in March 2026, where none occurred in the prior period. Similarly, one fatal crash occurred in a 45 mph zone in March 2026, which also had no fatal crashes in the prior period, despite the total crash count remaining at 2 for both periods.
Fatal crashes by zone: 45 mph: 1 of 2 (50%) · 65 mph: 1 of 10 (10%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · 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: 2026-03-01 through 2026-03-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2026-03-01 through 2026-03-31 (31 days)
- Geographic scope: FRAMINGHAM, MA
- Total crash records analyzed: 90
- Total persons involved: 182
- Total vehicles involved: 163
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 2026." Published June 21, 2026. Reporting period: 2026-03-01 to 2026-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/framingham/march-2026-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: 2026-03-01 – 2026-03-31
Generated: June 21, 2026 · All rights reserved