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Description
UK Grocery Locations Dataset – Top 17 Supermarket BrandsQuick links: Overview Dataset Fields Brand Distribution Distribution by Country Download FAQ Analyze with AI 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
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.
Related geospatial datasets
- Demographics dataset for the UK: Overlay demographic indicators to deeply understand the population structures and household types surrounding these supermarkets locations.
- Explore demographics data insights for the UK: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for the UK (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
- Income distribution and socio-economic patterns in the UK - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
- Explore a rich library of the UK-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for the UK
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 [email protected].
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."
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