SuperCor Supermarket Locations Dataset – Spain
SuperCor Supermarket Locations Dataset – Spain
SuperCor is the supermarket format of the El Corte Inglés group, offering a premium selection of groceries and extended opening hours. It caters to urban consumers looking for high-quality gourmet products and a convenient shopping experience.
There are 856 SuperCor Supermarkets as of 30 May 2026 in Spain. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all SuperCor 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: 856 SuperCor 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.
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)87%
- Web Address87%
Data Preview: Sample geospatial records from the SuperCor dataset in Spain
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| ef952ac... | SuperCor (Marbella) | 36.494169 | -4.753919 | 29604 | 26 Urbanización Hacienda las Chapas, ... |
| b98aee5... | Supercor Stop & go (Beasain) | 43.049926 | -2.220386 | 20200 | 1 GI-632, Beasain, 20200, Guipúzcoa, ... |
| e586ab0... | Supercor Stop & go (Catarroja) | 39.410751 | -0.407416 | 46470 | 20 Avinguda Generalitat Valenciana, C... |
| 0166912... | Supercor Exprés (Fuencarral-El Pardo) | 40.503746 | -3.670091 | 28050 | 21 Calle de la Sierra de Atapuerca, M... |
| 6dc92d8... | Supercor Stop & go (Algeciras) | 36.117058 | -5.444622 | 11207 | S.N Paseo Victoria Eugenia, Algeciras... |
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 SuperCor locations in Spain is found in Comunidad De Madrid (127 sites). This is followed by Andalucía (126 sites) and Catalunya (114 sites).
Learn more about the brand network in our report: View Report
Also available for Spain
Brand bundle
Top 25 Grocery Brands in Spain - €490
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View Top Brands dataset →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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Spain: Map these SuperCor locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Spain: Overlay demographic indicators to deeply understand the population structures and household types surrounding these SuperCor locations.
- Explore demographics data insights for Spain: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Spain (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.
- Explore a rich library of Spain-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 Spain
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?
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
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 imported into Power BI or Tableau?
A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.
Q: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
Q: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Is this dataset suitable for market analysis?
A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this SuperCor dataset to identify underserved regions in Spain for potential market expansion.""Compare the spatial distribution of SuperCor locations against major competitor clusters to identify overlap and whitespace opportunities in Spain.""Assess how effectively the current SuperCor network covers major commercial and residential hubs 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.