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 19,138 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.

Last updated: 23 August 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 – 568 locations in Spain
  • ALDI – 545 locations in Spain
  • Alimerka – 176 locations in Spain
  • BM – 360 locations in Spain
  • Caprabo – 313 locations in Spain
  • Carrefour – 1,743 locations in Spain
  • Charter – 530 locations in Spain
  • Claudio – 270 locations in Spain
  • Coaliment – 614 locations in Spain
  • Condis – 787 locations in Spain
  • Consum – 622 locations in Spain
  • Coviran – 2,035 locations in Spain
  • Dia – 2,550 locations in Spain
  • Eroski – 1,190 locations in Spain
  • Froiz – 267 locations in Spain
  • Gadis – 230 locations in Spain
  • Lidl – 755 locations in Spain
  • Lupa – 215 locations in Spain
  • MasyMas – 312 locations in Spain
  • Mercadona – 1,720 locations in Spain
  • PrimaPrix – 295 locations in Spain
  • Spar – 1,502 locations in Spain
  • SuperCor – 861 locations in Spain
  • Unide – 370 locations in Spain

Supermarkets distribution by Autonomous community

  • Catalunya: 3,421 supermarkets
  • Andalucía: 2,932 supermarkets
  • Comunidad De Madrid: 2,100 supermarkets
  • Comunitat Valenciana: 1,872 supermarkets
  • Galicia: 1,463 supermarkets
  • Castilla Y León: 1,148 supermarkets
  • Euskadi: 1,025 supermarkets
  • Castilla-La Mancha: 762 supermarkets
  • Illes Balears: 635 supermarkets
  • Aragón: 624 supermarkets
  • Extremadura: 590 supermarkets
  • Asturias: 546 supermarkets
  • Región De Murcia: 530 supermarkets
  • Cantabria: 364 supermarkets
  • Navarra - Nafarroa: 363 supermarkets
  • La Rioja: 143 supermarkets
  • Melilla: 12 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.

Learn more about the brand network in our report: View Report

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."