ALDI Supermarket Locations Dataset – Portugal

ALDI Supermarket Locations Dataset – Portugal

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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 Summary

  • Dataset Coverage: 127 ALDI supermarkets in Portugal
  • 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: 28 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 ALDI locations in Portugal

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Admin_level_1
  • Admin_level_2
  • Civil parish (Freguesia)
  • Region
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Web Address98%
  • Opening Hours98%
  • Popularity Score100%

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

ID Location Title Latitude Longitude Postal Code Full Address
292fd99... ALDI (Leiria) 39.758498 -8.791467 2415-449 309 Rua da Escola, Leiria, 2415-449, ...
0edbc27... ALDI (Guarda) 40.555173 -7.247255 6300-833 5 Rua do Facheiro, Guarda, 6300-833, ...
ba4ed0a... ALDI (Albufeira) 37.095126 -8.224740 8200-269 Rua Manuel Teixeira Gomes, Albufeira,...
2b40f01... ALDI (Gandara dos Olivais) 39.760847 -8.820237 2415-497 Rua Estrada Figueira da Foz, Leiria, ...
06e28c6... ALDI (Alcácer do Sal) 38.380588 -8.512231 7580-206 234 Rua Olival da Capela, Alcácer do ...

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 28 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 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.

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?

  • 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

Q: Does the dataset include administrative regions?

A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.

Q: Can this dataset support expansion planning?

A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.

Q: Can I preview the dataset before purchasing?

A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.

Q: Can I request custom enrichment fields?

A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.

Q: What file format is included with the download?

A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.

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.