Monthly Traffic Safety Analysis

12 CRASHES IN
GRANBY, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

In August 2022, GRANBY experienced 12 total crashes, marking a 20% increase from the 10 crashes reported in August 2021. The most significant year-over-year shift was the emergence of a fatal crash in August 2022, compared to zero fatalities in the prior year.

12

20.0%was 10

Total Crash Events

1

Persons Killed

9

200.0%was 3

Persons Injured

1

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in GRANBY saw an upward trend in August 2022 compared to August 2021, with total crashes increasing by 20% from 10 to 12. This period also recorded a notable rise in total injuries, which more than doubled from 3 to 9.

1

Hit-and-Run Crashes — August 2022

8.3% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

9

Motorists Injured

Prior: 3200.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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 notably year-over-year; the peak day for crashes moved from Friday with 3 crashes in August 2021 to Tuesday with 5 crashes in August 2022. Similarly, the peak crash hour shifted from 6 PM with 2 crashes in August 2021 to 2 PM with 5 crashes in August 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity increased significantly in August 2022, with 1 fatal crash and a fatal rate of 8.33%, compared to zero fatal crashes in August 2021. Serious injuries also emerged, accounting for 2 crashes (16.7%) in August 2022, while 'No Injury' crashes decreased from 70% of the total in August 2021 to 41.7% in August 2022.

Outcome by Severity (Crash Events)

Fatal1fatal crashes8.3%
Serious Injury2serious injury crashes16.7%
Minor Injury1minor injury crashes8.3%
-50.0%prior 2
Possible Injury2possible injury crashes16.7%
100.0%prior 1
No Injury5no injury crashes41.7%
-28.6%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record

Top Contributing Factors

Comparing contributing factors, 'Inattention' crashes decreased from 4 in August 2021 to 3 in August 2022. Factors like 'Failed to yield right of way' and 'Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway' remained consistent with 1 crash each across both periods. New contributing factors identified in August 2022 included 'Wrong side or wrong way' (2 crashes) and 'Distracted' (1 crash), which were not present in the top factors for August 2021.

Officer-Reported Primary Contributing Cause

Inattention3 (25%)
Wrong side or wrong way2 (16.7%)
Failed to yield right of way1 (8.3%)
Distracted1 (8.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (8.3%)
Other improper action1 (8.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (8.3%)
Operating defective equipment1 (8.3%)
Driving too fast for conditions1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Daylight conditions remained the most common for crashes, with 9 incidents in both August 2021 and August 2022. Crashes occurring during 'Dusk' increased from 1 in August 2021 to 2 in August 2022, and 1 crash occurred in 'Dark - roadway not lighted' conditions in August 2022, which was not reported in the prior year. Regarding road surface, crashes on dry roads increased from 9 to 11, while wet road crashes remained at 1 in both periods.

Lighting

Daylight9 (75.0%)
0.0%prior 9
Dusk2 (16.7%)
Dark - roadway not lighted1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field

Road Surface

Dry11 (91.7%)
22.2%prior 9
Wet1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (20 vehicles)

1
HONDA4 (20%)
2
JEEP3 (15%)
3
TOYOTA2 (10%)
4
VOLKSWAGEN2 (10%)
5
HI1 (5%)
6
MAZDA1 (5%)
7
MERCEDES-BENZ1 (5%)
8
BMW1 (5%)
9
VOLVO1 (5%)
10
CHEVROLET1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records

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

Sex Distribution (28 persons with recorded sex)

Male20 (71.4%)
53.8%prior 13
Female8 (28.6%)
100.0%prior 4

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 35 mph speed zone remained constant at 3 incidents in both August 2021 and August 2022. However, crashes in the 40 mph speed zone increased from 2 in August 2021 to 5 in August 2022, with one of these crashes being fatal in the current period. Additionally, August 2022 saw crashes reported in 20 mph, 25 mph, and 50 mph zones, which were not present in August 2021's data.

Fatal crashes by zone: 40 mph: 1 of 5 (20%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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: 2022-08-01 through 2022-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-08-01 through 2022-08-31 (31 days)
  • Geographic scope: GRANBY, MA
  • Total crash records analyzed: 12
  • Total persons involved: 29
  • Total vehicles involved: 20

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: August 2022." Published June 21, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/granby/august-2022-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 — August 2022 | ThatCarHitMe.com