Spain Grocery Locations Dataset – Top 25 Supermarket Brands

Spain Grocery Locations Dataset – Top 25 Supermarket Brands

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Top 25 Supermarket Chains Across Spain: Premium Multi-Brand Location Dataset

Unlock a complete, ready-to-use dataset featuring the leading Supermarket brands in Spain. This expertly compiled Top Brands dataset consolidates all major Supermarket chains in Spain, delivering a clean, standardised and analysis-ready collection of 18,613 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
  • Admin_level_1
  • Admin_level_2
  • Commune
  • Autonomous community
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Brand distribution

  • Ahorramas – 308 locations in Spain
  • Alcampo – 564 locations in Spain
  • ALDI – 543 locations in Spain
  • Alimerka – 174 locations in Spain
  • BM – 355 locations in Spain
  • Caprabo – 310 locations in Spain
  • Carrefour – 1,682 locations in Spain
  • Charter – 529 locations in Spain
  • Claudio – 262 locations in Spain
  • Coaliment – 573 locations in Spain
  • Condis – 775 locations in Spain
  • Consum – 601 locations in Spain
  • Coviran – 2,006 locations in Spain
  • Dia – 2,500 locations in Spain
  • Eroski – 1,059 locations in Spain
  • Froiz – 260 locations in Spain
  • Gadis – 228 locations in Spain
  • Lidl – 752 locations in Spain
  • Lupa – 213 locations in Spain
  • MasyMas – 240 locations in Spain
  • Mercadona – 1,704 locations in Spain
  • PrimaPrix – 290 locations in Spain
  • SPAR – 1,484 locations in Spain
  • SuperCor – 856 locations in Spain
  • Unide – 345 locations in Spain

Supermarkets distribution by Autonomous community

  • Catalunya: 3,364 supermarkets
  • Andalucía: 2,880 supermarkets
  • Comunidad De Madrid: 2,073 supermarkets
  • Comunitat Valenciana: 1,813 supermarkets
  • Galicia: 1,370 supermarkets
  • Castilla Y León: 1,103 supermarkets
  • Euskadi: 1,011 supermarkets
  • Castilla-La Mancha: 740 supermarkets
  • Aragón: 611 supermarkets
  • Illes Balears: 608 supermarkets
  • Extremadura: 581 supermarkets
  • Región De Murcia: 518 supermarkets
  • Asturias: 473 supermarkets
  • Cantabria: 357 supermarkets
  • Navarra - Nafarroa: 353 supermarkets
  • La Rioja: 143 supermarkets
  • Melilla: 11 supermarkets

Direct access after purchase of the complete locations dataset for Spain

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.

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 this dataset be used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

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.

Q: What file format is included with the download?

A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.

Q: How are addresses standardized?

A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.

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.

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 Spain for potential market expansion."
  • "Identify isolated this multi-brand sites in Spain that may face operational inefficiencies due to low regional clustering."
  • "Compare the spatial distribution of this multi-brand locations against major competitor clusters to identify overlap and whitespace opportunities in Spain."