Monthly Traffic Safety Analysis

12 CRASHES IN
GRANBY, MA
MARCH 2026

All metrics benchmarked againstMarch 2025

In March 2026, GRANBY experienced 12 total crashes, marking a 33.3% increase compared to the 9 crashes reported in March 2025. Total injuries also rose by 33.3%, from 3 to 4. A notable shift occurred in the manner of collision, with single vehicle crashes increasing from 2 in the prior period to 7 in the current period.

12

33.3%was 9

Total Crash Events

0

Persons Killed

4

33.3%was 3

Persons Injured

0

-100.0%was 1

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 1 crash with unreported severity is 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 GRANBY shows an upward trend year-over-year. Total crashes increased from 9 in March 2025 to 12 in March 2026, representing a 33.3% rise. Similarly, total injuries rose from 3 to 4, also a 33.3% increase, while fatalities remained at 0 in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 333.3%

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 for crashes in GRANBY shifted year-over-year. While March 2025 saw its peak crash count on Thursday with 2 crashes, March 2026 recorded its highest number of crashes on Wednesday with 3. The peak hour for crashes also changed, moving from 1 PM in March 2025 (2 crashes) to 5 PM in March 2026 (2 crashes), although both hours had the same crash count.

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 distribution of crash severity showed changes year-over-year in GRANBY. The proportion of minor injury crashes decreased from 33.3% (3 crashes) in March 2025 to 16.7% (2 crashes) in March 2026. Conversely, crashes with no injury increased their share from 66.7% (6 crashes) to 75% (9 crashes) over the same period. There were no fatal crashes or fatalities reported in either March 2025 or March 2026.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes16.7%
-33.3%prior 3
No Injury9no injury crashes75%
50.0%prior 6

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

Contributing factors for crashes in GRANBY showed a notable shift between the two periods. Crashes attributed to 'No improper driving' increased from 3 in March 2025 to 7 in March 2026, representing a 133.3% increase in count. Conversely, crashes where 'Inattention' was a factor decreased from 5 in March 2025 to 3 in March 2026, a 40% decrease in count. 'Distracted' was a factor in 1 crash in March 2025 but was not present in March 2026 data, while 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' and 'Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway' each contributed to 1 crash in March 2026, not appearing in March 2025.

Officer-Reported Primary Contributing Cause

No improper driving7 (58.3%)
Inattention3 (25%)-40.0%prior 5
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (8.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (8.3%)

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

Road conditions in GRANBY saw some notable changes year-over-year. Crashes on dry road surfaces decreased from 7 in March 2025 to 4 in March 2026, while crashes on wet surfaces doubled from 2 to 4. March 2026 also reported 3 crashes on ice and 1 crash on snow, conditions not present in the March 2025 data. For lighting conditions, crashes occurring in 'Dark - roadway not lighted' increased from 1 in March 2025 to 3 in March 2026.

Weather

Clear5 (41.7%)
0.0%prior 5
Cloudy2 (16.7%)
Rain2 (16.7%)
Sleet, hail (freezing rain or drizzle)2 (16.7%)
Snow/Sleet, hail (freezing rain or drizzle)1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash

Lighting

Daylight6 (50.0%)
0.0%prior 6
Dark - roadway not lighted3 (25.0%)
Dawn2 (16.7%)
Dusk1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Lighting condition field

Road Surface

Dry4 (33.3%)
-42.9%prior 7
Wet4 (33.3%)
Ice3 (25.0%)
Snow1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (16 vehicles)

1
TOYOTA4 (25%)
2
KIA3 (18.8%)
3
NISSAN2 (12.5%)
4
MERCEDES-BENZ1 (6.3%)
5
RAM1 (6.3%)
6
SUBARU1 (6.3%)
7
FORD1 (6.3%)
8
VOLKSWAGEN1 (6.3%)
9
GMC1 (6.3%)
10
HONDA1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Vehicle unit records

1 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (19 persons with recorded sex)

Male10 (52.6%)
-9.1%prior 11
Female9 (47.4%)
50.0%prior 6

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 GRANBY shifted across different speed zones year-over-year. Crashes in 25 mph zones decreased from 3 in March 2025 to 1 in March 2026, and those in 30 mph zones decreased from 2 to 1. Conversely, crashes in 35 mph zones increased from 2 to 3, and those in 40 mph zones doubled from 2 to 4. Additionally, March 2026 reported crashes in 20 mph (1 crash) and 45 mph (2 crashes) zones, which were not present in the March 2025 data, and no fatal crashes occurred in any speed zone in either period.

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: GRANBY, MA
  • Total crash records analyzed: 12
  • Total persons involved: 20
  • Total vehicles involved: 16

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). "GRANBY, 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/granby/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

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Granby, MA Crash Report — March 2026 | ThatCarHitMe.com