Walmart Supermarket Locations Dataset – Canada
Walmart Supermarket Locations Dataset – Canada
Walmart Canada operates a massive network of Supercentres that offer a comprehensive grocery section alongside general merchandise. It is one of the largest retailers in the country, significantly influencing the grocery market through aggressive pricing.
There are 453 Walmart Supermarkets as of 5 August 2026 in Canada. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Walmart 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: 453 Walmart 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.
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)96%
- Web Address94%
- Opening Hours95%
- Popularity Score100%
Data Preview: Sample geospatial records from the Walmart dataset in Canada
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| f941f4c... | Walmart (Clarenville) | 48.171319 | -53.987540 | A5A 2C3 | 11 Shoal Harbour Drive, Clarenville, ... |
| a20d561... | Walmart (Sainte-Foy–Sillery–Cap-Rouge) | 46.782269 | -71.348650 | G2G 2R5 | 1470 Avenue Jules-Verne, Québec, G2G ... |
| 3c98627... | Walmart (Gatineau) | 45.480895 | -75.675540 | J8T 8K7 | 640 Boulevard Maloney Ouest, Gatineau... |
| d3b0132... | Walmart (St. John's) | 47.619837 | -52.714420 | A1A 5N6 | 90 Aberdeen Avenue, St. John's, A1A 5... |
| 3a8deb9... | Walmart (Clayton Park West) | 44.654665 | -63.675480 | B3S 1C9 | 220 Chain Lake Drive, Halifax, B3S 1C... |
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?
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
Frequently Asked Questions
Q: Is this dataset suitable for market analysis?
A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: How recent is this dataset?
A: This dataset was last updated on 5 August 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Can I analyze this dataset with AI tools?
A: Yes. The dataset is structured for compatibility with AI workflows including ChatGPT, Claude, Gemini, RAG pipelines, and Python-based analytics.
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 Walmart dataset to identify underserved regions in Canada for potential market expansion.""Identify fast-growing suburban areas in Canada that currently have limited access to nearby supermarkets.""Using this Walmart data, find high-traffic retail corridors in Canada with low supermarkets density for competitive positioning."
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.