Giant Tiger Supermarket Locations Dataset – Canada
Giant Tiger Supermarket Locations Dataset – Canada
Giant Tiger is a Canadian-owned discount department store that offers a significant selection of groceries, fashion, and household goods. It is well-known for its mascot and for operating stores in suburban and rural markets across Canada.
There are 235 Giant Tiger Supermarkets as of 5 August 2026 in Canada. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Giant Tiger 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: 235 Giant Tiger 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)100%
- Web Address100%
- Opening Hours100%
- Popularity Score100%
Data Preview: Sample geospatial records from the Giant Tiger dataset in Canada
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 7ef41e4... | Giant Tiger (Moncton) | 46.094483 | -64.768130 | E1C 2A1 | 165 Main Street, Moncton, E1C 2A1, Mo... |
| a4f1503... | Giant Tiger (Barrie) | 44.369440 | -79.668890 | L4N 4C8 | 320 Yonge Street, Barrie, L4N 4C8, Si... |
| daa6a3b... | Giant Tiger (Shawville) | 45.602044 | -76.502160 | J0X 2Y0 | 473 Québec 148, Shawville, J0X 2Y0, O... |
| 4f43f0d... | Giant Tiger (Trenton) | 44.105942 | -77.557460 | K8V 5Z9 | 266 Dundas Street East, Quinte West, ... |
| 85825c8... | Giant Tiger (Perth) | 44.907556 | -76.266980 | K7H 2Y4 | 88 Dufferin Street, Perth, K7H 2Y4, L... |
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?
- 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.
- 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.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
Frequently Asked Questions
Q: How accurate are the coordinates?
A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.
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: Is this dataset useful for accessibility studies?
A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.
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: Can I use this dataset in GIS software?
A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Giant Tiger dataset to identify underserved regions in Canada for potential market expansion.""Assess the accessibility of Giant Tiger locations in Canada based on proximity to population centers and public infrastructure.""Create a regional ranking of Giant Tiger coverage efficiency using population-to-store ratios across 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.