ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · GRANBY, MA · 2023
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/granby/2023-annual-report
Yearly Traffic Safety Analysis
174 CRASHES IN
GRANBY, MA
2023
In 2023, Granby recorded 174 total traffic crashes, a 4.4% decrease from the 182 crashes documented in 2022. While total crashes and fatalities remained relatively stable, the number of crashes resulting in serious injuries saw a significant year-over-year reduction, falling from 8 in 2022 to 2 in 2023.
174
▼ -4.4%was 182
Total Crash Events
1
Persons Killed
70
▼ -7.9%was 76
Persons Injured
11
▲ 10.0%was 10
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. 6 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic safety metrics in Granby showed a slight improvement from 2022 to 2023. Total crashes decreased by 4.4%, from 182 to 174 incidents. Similarly, the number of persons injured in these crashes fell by 7.9% from 76 to 70, while the number of fatalities remained unchanged at one death in each year.
11
Hit-and-Run Crashes — 2023
▲ 10.0% vs prior (10)
The incidence of hit-and-run crashes in Granby saw a slight increase from 2022 to 2023. The total count of hit-and-run incidents rose from 10 to 11. Correspondingly, the hit-and-run rate per 100 crashes increased from 5.5 in 2022 to 6.3 in 2023, indicating a slightly upward trend.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
1
Pedestrians Injured
2
Cyclists Injured
67
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Granby shifted between 2022 and 2023. The peak day for crashes moved from Saturday (32 crashes) in 2022 to Thursday (32 crashes) in 2023. A more pronounced change occurred in the peak hour, which shifted from 2 PM in 2022 (24 crashes) to the later evening commute time of 5 PM in 2023 (18 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes saw a notable shift towards less severe outcomes in 2023. While the number of fatal crashes remained constant at one, the fatal crash rate per 100 crashes slightly increased from 0.55 to 0.57 due to the lower total crash volume. Crashes resulting in serious injuries decreased significantly, from 8 incidents (4.4% of total) in 2022 to 2 incidents (1.1% of total) in 2023. Conversely, crashes involving possible injuries increased from 19 to 26.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Top Contributing Factors
Inattention remained the top contributing factor for crashes in both periods, though its count decreased slightly from 57 incidents in 2022 to 54 in 2023. 'No improper driving' was the second most common finding, with a stable count of 39 crashes in both years. Notably, crashes attributed to 'Distracted' driving saw a substantial decrease in count, falling from 7 incidents in 2022 to 2 in 2023. The top three contributing factors and their rankings remained consistent year-over-year.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
In 2023, a greater proportion of crashes occurred during adverse road surface conditions compared to the prior year. Crashes on wet, snowy, or icy roads increased from 39 incidents (21.4% of total) in 2022 to 43 incidents (24.7% of total) in 2023. While most crashes in both years happened on dry roads under clear skies, the number of crashes in clear weather decreased from 140 to 117. The distribution of crashes between daylight and dark conditions remained relatively stable year-over-year.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The demographics of persons and vehicles involved in crashes showed some shifts between 2022 and 2023. For vehicle makes, Ford became the most frequently involved vehicle with 39 instances in 2023, up from 27 in 2022, while Honda's involvement decreased from 35 to 30. Regarding persons involved, there was a notable increase in the 0-15 age group, which grew from 17 individuals in 2022 to 35 in 2023. Conversely, the number of persons in the 55-64 age group decreased from 50 to 31.
Top Vehicle Makes (281 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
26 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (335 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in Granby remained concentrated in 35 mph and 40 mph zones, which together accounted for 74.1% of all incidents in 2023, up from 67.6% in 2022. The number of crashes in 35 mph zones increased from 63 to 70 year-over-year. The single fatal crash in 2023 occurred in a 35 mph zone, whereas the single fatality in 2022 took place in a 40 mph zone.
Fatal crashes by zone: 35 mph: 1 of 70 (1.429%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: GRANBY, MA
- Total crash records analyzed: 174
- Total persons involved: 362
- Total vehicles involved: 281
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: 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/granby/2023-annual-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: 2023-01-01 – 2023-12-31
Generated: June 21, 2026 · All rights reserved