Couche-Tard Supermarket Locations Dataset – Canada
Couche-Tard Supermarket Locations Dataset – Canada
Alimentation Couche-Tard is a global leader in the convenience and fuel retail industry, headquartered in Laval, Quebec. It operates thousands of stores across Canada under the Couche-Tard and Circle K banners.
There are 604 Couche-Tard Supermarkets as of 5 August 2026 in Canada. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Couche-Tard 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: 604 Couche-Tard 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 Address99%
- Opening Hours100%
- Popularity Score100%
Data Preview: Sample geospatial records from the Couche-Tard dataset in Canada
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 0263325... | Couche-Tard (Greenfield Park) | 45.481638 | -73.452890 | J4V 3K9 | 4900 Grande Allée, Longueuil, J4V 3K9... |
| 0e3e696... | Couche-Tard (Beauport) | 46.876629 | -71.166810 | G1C 1W3 | 1375 Boulevard des Chutes, Québec, G1... |
| 04dcc80... | Couche-Tard (Les Chutes-de-la-Chaudière-Est) | 46.730488 | -71.207110 | G6Z 2C9 | 800 Avenue Taniata, Lévis, G6Z 2C9, C... |
| dd892cf... | Couche-Tard (La Cité-Limoilou) | 46.805321 | -71.221520 | G1R 5G2 | 333 Rue Jacques-Parizeau, Québec, G1R... |
| d75fd41... | Couche-Tard (Mirabel) | 45.642445 | -73.876830 | J7J 2B6 | 8990 Boulevard de la Grande-Allée, Mi... |
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?
- 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.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
Frequently Asked Questions
Q: Can I preview the dataset before purchasing?
A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.
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: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Q: Can this dataset be used for academic or research purposes?
A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Couche-Tard dataset to identify underserved regions in Canada for potential market expansion.""Calculate the total population coverage for Couche-Tard in Canada using a 10km catchment radius around each coordinate.""Identify high-income or high-density residential zones in Canada that currently lack nearby Couche-Tard locations."
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.