Auchan Supermarket Locations Dataset – Portugal

Auchan Supermarket Locations Dataset – PortugalQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Related Datasets Use Cases FAQ Analyze with AI Auchan is a major French multinational retail group that operates a wide network of hypermarkets and supermarkets across Portugal. It is known for its focus on local products and its "Good, Healthy, and Local" initiative. There are 205 Auchan Supermarkets as of 28 May 2026 in Portugal. This dataset is compiled and

Auchan is a major French multinational retail group that operates a wide network of hypermarkets and supermarkets across Portugal. It is known for its focus on local products and its "Good, Healthy, and Local" initiative.

There are 205 Auchan Supermarkets as of 28 May 2026 in Portugal. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Auchan locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Auchan dataset in Portugal

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Auchan locations in Portugal is found in Pop - Évora (160073 sites). This is followed by Lisboa (96 sites; 4.03 per 100,000) and Setúbal (31 sites; 3.39 per 100,000). From a market-penetration perspective, Lisboa has the highest brand density at 4.03 locations per 100,000 people (population: 2,385,000), making it the most saturated region for Auchan in Portugal. By contrast, Braga records only 0.34 locations per 100,000 residents (population: 885,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Portugal: Map these Auchan locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Portugal: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Auchan locations.
• Explore demographics data insights for Portugal: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Portugal (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 Portugal-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 Portugal

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?

• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• 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.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.

Frequently Asked Questions

Analyze this data with AI

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

• "Analyze this Auchan dataset to identify underserved regions in Portugal for potential market expansion."
• "Assess the accessibility of Auchan locations in Portugal based on proximity to population centers and public infrastructure."
• "Evaluate how evenly Auchan locations are distributed across provinces, districts, or municipalities in Portugal."

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.