Claudio Supermarket Locations Dataset – Spain

Claudio Supermarket Locations Dataset – Spain

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Claudio is the franchise brand of the Galician retail group Gadisa, serving as a neighborhood proximity store for rural and semi-urban areas. It focuses on offering a basic but high-quality selection of everyday essentials near the consumer's home.

There are 262 Claudio Supermarkets as of 30 May 2026 in Spain. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Claudio 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: 262 Claudio supermarkets in Spain
  • 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: 30 May 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.

Map showing the geographical distribution of Claudio locations in Spain

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

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)85%
  • Web Address82%
  • Opening Hours56%

Data Preview: Sample geospatial records from the Claudio dataset in Spain

ID Location Title Latitude Longitude Postal Code Full Address
ff0cfe4... Claudio Express (A Rocha) 42.855033 -8.571190 15899 6 Avenida de Pontevedra, A Rocha, 158...
b397156... Claudio (A Coruña) 43.359438 -8.418055 15007 3 Rúa Tornos, A Coruña, 15007, A Coru...
cc112ff... Claudio (Rianxo) 42.653364 -8.818512 15920 Rianxo, 15920, La Coruña, Spain
9aa03da... Claudio Express (As Neves) 43.436239 -7.987384 15610 AC-564, As Neves, 15610, La Coruña, S...
0714a22... Claudio (Salvaterra de Miño) 42.081113 -8.497111 36450 17 Rúa Marqués de Viana, Salvaterra d...

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 30 May 2026

✅ Data looks right? Add to cart ↑ - or download the free sample first.

Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Claudio locations in Spain is found in Galicia (221 sites). This is followed by Castilla Y León (21 sites) and Asturias (7 sites).

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

Also available for Spain

Brand bundle

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All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.

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Full market coverage

All Grocery Locations in Spain - 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?

  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.

Frequently Asked Questions

Q: Can I request the data in GeoJSON or Shapefile format?

A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.

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: Does the dataset include unique identifiers?

A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.

Q: What coordinate reference system is used?

A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Claudio dataset to identify underserved regions in Spain for potential market expansion."
  • "Analyze the clustering behavior of Claudio locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
  • "Create a regional ranking of Claudio coverage efficiency using population-to-store ratios across Spain."

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.