ALDI Supermarket Locations Dataset – Poland
SKU: 64079293100

ALDI Supermarket Locations Dataset – Poland

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Description

ALDI Supermarket Locations Dataset – PolandQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI ALDI is a major German discount supermarket chain that has been steadily expanding its footprint across the Polish market. It operates under the ALDI Nord division, focusing on high quality private labels and a simplified shopping experience. There are 423 ALDI Supermarkets as of 30 May 2026 in Poland. This

ALDI is a major German discount supermarket chain that has been steadily expanding its footprint across the Polish market. It operates under the ALDI Nord division, focusing on high-quality private labels and a simplified shopping experience.

There are 423 ALDI Supermarkets as of 30 May 2026 in Poland. 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: 423 ALDI supermarkets in Poland
  • 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
  • Municipality
  • Region
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)88%
  • Web Address54%
  • Opening Hours88%
  • Popularity Score100%

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

ID Location Title Latitude Longitude Postal Code Full Address
302e4c4... ALDI (Środa Wielkopolska) 52.233189 17.267866 63-000 6 Weychana, Środa Wielkopolska, 63-00...
00b77b4... ALDI (Łagiewniki-Borek Fałęcki) 50.011084 19.926526 30-421 4 Sielska, Kraków, 30-421, Powiat Kra...
4774ced... ALDI (Wawer) 52.220635 21.106564 03-984 71 Henryka Łasaka, Warszawa, 03-984, ...
47eb4bb... ALDI (Wałcz) 53.266183 16.458773 78-600 60 Aleja Zdobywców Wału Pomorskiego, ...
c16c162... ALDI (Krzyki) 51.098533 17.047552 50-529 133 A Tadeusza Kościuszki, Wrocław, 5...

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 ALDI locations in Poland is found in Śląskie (84 sites, equivalent to 1.96 ALDI supermarkets per 100,000 residents). This is followed by Dolnośląskie (45 sites; 1.57 per 100,000) and Mazowieckie (44 sites; 0.8 per 100,000). From a market-penetration perspective, Lubuskie has the highest brand density at 2.07 locations per 100,000 people (population: 965,000), making it the most saturated region for ALDI in Poland. By contrast, Podkarpackie records only 0.44 locations per 100,000 residents (population: 2,060,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Poland

Brand bundle

Top 21 Grocery Brands in Poland - €400

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 Poland - 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 →

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.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
  • Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.

Frequently Asked Questions

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.

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 used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

Q: Is this dataset useful for franchise analysis?

A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.

Q: Is the dataset standardized for analytics workflows?

A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.

Q: Are postal codes included for all locations?

A: Postal codes are included wherever available and validated as part of the standardization workflow.

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 Poland for potential market expansion."
  • "Map the concentration of ALDI locations relative to major retail centers and shopping districts in Poland."
  • "Assess how effectively the current ALDI network covers major commercial and residential hubs across Poland."

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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SKU: 64079293100

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