ALDI Supermarket Locations Dataset – Portugal

ALDI Supermarket Locations Dataset – PortugalQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Related Datasets Use Cases FAQ Analyze with AI ALDI Portugal operates as part of the ALDI Nord group, focusing on high quality private labels and a simplified discount shopping experience. It has significantly expanded its presence in the country, aiming to offer the best price quality ratio for Portuguese households. There are 127 ALDI Supermarkets as of 28 May 2026

ALDI Portugal operates as part of the ALDI Nord group, focusing on high-quality private labels and a simplified discount shopping experience. It has significantly expanded its presence in the country, aiming to offer the best price-quality ratio for Portuguese households.

There are 127 ALDI Supermarkets as of 28 May 2026 in Portugal. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all ALDI 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 ALDI 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 ALDI locations in Portugal is found in Faro (22 sites, equivalent to 4.49 ALDI supermarkets per 100,000 residents). This is followed by Lisboa (22 sites; 0.92 per 100,000) and Porto (19 sites; 1.02 per 100,000). From a market-penetration perspective, Faro has the highest brand density at 4.49 locations per 100,000 people (population: 490,000), making it the most saturated region for ALDI in Portugal. By contrast, Viseu records only 0.27 locations per 100,000 residents (population: 365,000), 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 ALDI 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 ALDI 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?

• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• 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.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.

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 ALDI dataset to identify underserved regions in Portugal for potential market expansion."
• "Rank the top-performing urban areas in Portugal for future ALDI expansion based on existing location density and regional population."
• "Evaluate how evenly ALDI 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.