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Description
Lupa Supermarket Locations Dataset – SpainQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Lupa is a leading supermarket chain in Cantabria and Castilla y Len, operated by the Semark AC Group. It focuses on proximity and a wide assortment of brands, including its own private labels like Alteza and Selex. There are 213 Lupa Supermarkets as of 30 May 2026 in Spain. This dataset is compiled and
Lupa is a leading supermarket chain in Cantabria and Castilla y León, operated by the Semark AC Group. It focuses on proximity and a wide assortment of brands, including its own private labels like Alteza and Selex.
There are 213 Lupa Supermarkets as of 30 May 2026 in Spain. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Lupa 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: 213 Lupa 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)91%
- Web Address91%
- Opening Hours92%
- Popularity Score100%
Data Preview: Sample geospatial records from the Lupa dataset in Spain
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 99838a3... | Lupa (Astillero) | 43.399517 | -3.820413 | 39610 | 12 Travesía Orense, Astillero, 39610,... |
| 7ef3f0b... | Lupa (Arenas de San Pedro) | 40.209152 | -5.078218 | 05400 | 58 Avenida Constitución, Arenas de Sa... |
| 350f73f... | Lupa (Renedo de Piélagos) | 43.352639 | -3.949253 | 39470 | 4 Avenida Luis de la Concha, Renedo d... |
| 91634c3... | Lupa (Mansilla de las Mulas) | 42.494840 | -5.413017 | 24210 | 45 Avenida Constitución, Mansilla de ... |
| 11dba25... | Lupa (León) | 42.595972 | -5.576786 | 24004 | 37 Avenida República Argentina, León,... |
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 Lupa locations in Spain is found in Castilla Y León (104 sites). This is followed by Cantabria (90 sites) and La Rioja (19 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 Lupa 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 Lupa 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 [email protected].
Who uses this data?
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- 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.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- 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 this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
Q: Can this data be combined with demographics datasets?
A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
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 phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Lupa dataset to identify underserved regions in Spain for potential market expansion.""Analyze which Lupa locations in Spain are positioned in highly competitive retail zones versus standalone markets.""Identify Lupa sites with large footprints in Spain that are optimal candidates for EV charging infrastructure overlays."
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.
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