Canada Grocery Locations Dataset – Top 17 Supermarket Brands
Canada Grocery Locations Dataset – Top 17 Supermarket Brands
Top 17 Supermarket Chains Across Canada: Premium Multi-Brand Location Dataset
Unlock a complete, ready-to-use dataset featuring the leading Supermarket brands in Canada. This expertly compiled Top Brands dataset consolidates all major Supermarket chains in Canada, delivering a clean, standardised and analysis-ready collection of 4,719 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.
Last updated: 5 August 2026.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Brand distribution
- Boni-Soir – 246 locations in Canada
- Couche-Tard – 604 locations in Canada
- Food Basics – 155 locations in Canada
- Foodland – 222 locations in Canada
- FreshCo – 169 locations in Canada
- Giant Tiger – 235 locations in Canada
- IGA – 390 locations in Canada
- M&M – 346 locations in Canada
- Maxi – 210 locations in Canada
- Metro – 344 locations in Canada
- No Frills – 373 locations in Canada
- Safeway – 134 locations in Canada
- Save-On-Foods – 188 locations in Canada
- Sobeys – 244 locations in Canada
- Super C – 122 locations in Canada
- Walmart – 453 locations in Canada
- Winners – 284 locations in Canada
Direct access after purchase of the complete locations dataset for Canada
Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.
Evaluate the dataset before purchase
A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.
Learn more about the brand network in our report: View Report
Need the data in another format?
We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at contact@geolocet.com.
Frequently Asked Questions
Q: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
Q: Can I combine this dataset with administrative boundaries?
A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.
Q: How recent is this dataset?
A: This dataset was last updated on August 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Are the datasets suitable for machine learning workflows?
A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.
Q: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this this multi-brand dataset to identify underserved regions in Canada for potential market expansion.""Compare the spatial distribution of this multi-brand locations against major competitor clusters to identify overlap and whitespace opportunities in Canada.""Analyze the clustering behavior of this multi-brand locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."