M&M Supermarket Locations Dataset – Canada

M&M Supermarket Locations Dataset – Canada

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M&M Food Market is Canada's largest specialized frozen food retailer, offering a wide range of flash-frozen appetizers, entrees, and desserts. It operates through a mix of standalone stores and express locations within other retailers.

There are 346 M&M Supermarkets as of 5 August 2026 in Canada. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all M&M locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

Dataset Summary

  • Dataset Coverage: 346 M&M supermarkets in Canada
  • Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
  • File Format: Fully geocoded CSV dataset (UTF-8)
  • Free Sample: Instantly accessible dataset to verify structure and data quality
  • Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
  • Last Updated: 5 August 2026

Dataset Methodology:

This dataset is compiled from publicly available business listings, official company sources, and geospatial validation workflows. Automated quality checks and manual analyst reviews are applied to improve coordinate precision, address standardisation, duplicate detection, and overall analytical consistency.

It is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.

Map showing the geographical distribution of M&M locations in Canada

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

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)95%
  • Web Address95%
  • Opening Hours96%
  • Popularity Score100%

Data Preview: Sample geospatial records from the M&M dataset in Canada

ID Location Title Latitude Longitude Postal Code Full Address
5bad601... M&M (Thunder Bay) 48.445371 -89.248990 P7B 1K3 843 Red River Road, Thunder Bay, P7B ...
0fdd150... M&M (Delta) 49.156341 -122.913700 V4C 2L7 11161 84 Avenue, Delta, V4C 2L7, Metr...
f79f1f5... M&M (Grimsby) 43.191936 -79.559410 L3M 1M9 36 Main Street East, Grimsby, L3M 1M9...
5bd2842... M&M (Grande Prairie) 55.172266 -118.830700 T8V 7L3 10210 111 Street, Grande Prairie, T8V...
930daf5... M&M (St. John's) 47.619578 -52.718940 A1A 0H5 70 White Rose Drive, St. John's, A1A ...

Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all fields and verify the data structure.

Why download from Geolocet?

  • Instant download - full dataset available immediately after purchase, no waiting, no manual fulfilment
  • Free sample first - verify structure, fields, and coordinate precision before you commit
  • Analysis-ready CSV - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
  • Regularly updated - last updated 5 August 2026

✅ Data looks right? Add to cart ↑ - or download the free sample first.

Learn more about the brand network in our report: View Report

Also available for Canada

Brand bundle

Top 17 Grocery Brands in Canada - €480

All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.

View Top Brands dataset →

Full market coverage

All Grocery Locations in Canada - complete POI dataset

Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.

View full POI dataset →

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.

Who uses this data?

  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.

Frequently Asked Questions

Q: Does the dataset include unique identifiers?

A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.

Q: Can this dataset support expansion planning?

A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.

Q: Can this dataset be used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

Q: What file format is included with the download?

A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this M&M dataset to identify underserved regions in Canada for potential market expansion."
  • "Rank the top-performing urban areas in Canada for future M&M expansion based on existing location density and regional population."
  • "Analyze proximity between M&M locations and major highways, ring roads, or arterial transport corridors in Canada."

Disclaimer: All brand logos and trademarks displayed are the property of their respective owners and are used strictly for identification purposes. This product consists of geospatial location data only; no images, logos, or trademark rights are included in the downloadable files.