UK Grocery Locations Dataset – Top 17 Supermarket Brands
UK Grocery Locations Dataset – Top 17 Supermarket Brands
Top 17 Supermarket Chains Across the UK: Premium Multi-Brand Location Dataset
Unlock a complete, ready-to-use dataset featuring the leading Supermarket brands in the UK. This expertly compiled Top Brands dataset consolidates all major Supermarket chains in the UK, delivering a clean, standardised and analysis-ready collection of 28,534 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.
Last updated: 30 May 2026.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Town
- Local authority
- District
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Brand distribution
- ALDI – 1,098 locations in the UK
- ASDA – 1,117 locations in the UK
- Budgens – 349 locations in the UK
- Coop – 3,808 locations in the UK
- Costcutter – 1,531 locations in the UK
- Heron Foods – 342 locations in the UK
- Iceland – 952 locations in the UK
- Lidl – 1,075 locations in the UK
- Londis – 2,138 locations in the UK
- M&S – 1,117 locations in the UK
- Morrisons – 1,719 locations in the UK
- One Stop – 1,143 locations in the UK
- Premier – 5,113 locations in the UK
- Sainsbury's – 1,504 locations in the UK
- SPAR – 1,959 locations in the UK
- Tesco – 3,124 locations in the UK
- Waitrose – 445 locations in the UK
Supermarkets distribution by Country
- England: 23,676 supermarkets
- Scotland: 2,297 supermarkets
- Wales: 1,701 supermarkets
- Northern Ireland: 796 supermarkets
Direct access after purchase of the complete locations dataset for the UK
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.
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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: Can I use this dataset for competitor benchmarking?
A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.
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: 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 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: Can I use this dataset for proximity analysis?
A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.
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 the UK for potential market expansion.""Identify isolated this multi-brand sites in the UK that may face operational inefficiencies due to low regional clustering.""Analyze proximity between this multi-brand locations and major highways, ring roads, or arterial transport corridors in the UK."