ALDI Supermarket Locations Dataset – Netherlands

ALDI is a staple of the Dutch discount grocery market, operating hundreds of stores under the ALDI Nord division. It focuses on providing a high-quality, low-cost "no-frills" shopping experience for Dutch households.

There are 494 ALDI Supermarkets as of 26 May 2026 in the Netherlands. 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 Netherlands

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
8ec7839...	ALDI (Heerlen)	50.864296	6.004233	6418 CE	239A Heerlerbaan, Heerlen, 6418 CE, H...
8d9a558...	ALDI (Veldhoven)	51.412470	5.397555	5505 AR	23a Mira, Veldhoven, 5505 AR, Veldhov...
8bbd8d7...	ALDI (Zetten)	51.931125	5.711238	6671 CD	21 Hoofdstraat, Zetten, 6671 CD, Over...
be38c89...	ALDI (Wassenaar)	52.144975	4.403085	2241 KD	57 Hofcampweg, Wassenaar, 2241 KD, Wa...
17d8742...	ALDI (Nijmegen-Zuid)	51.815078	5.861619	6525 WK	7 Kanunnik Mijllinckstraat, Nijmegen,...

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 the Netherlands is found in Noord-Brabant (88 sites, equivalent to 3.31 ALDI supermarkets per 100,000 residents). This is followed by Gelderland (81 sites; 3.75 per 100,000) and Zuid-Holland (60 sites; 1.55 per 100,000). From a market-penetration perspective, Zeeland has the highest brand density at 4.87 locations per 100,000 people (population: 390,000), making it the most saturated region for ALDI in the Netherlands. By contrast, Noord-Holland records only 1.47 locations per 100,000 residents (population: 2,990,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Learn more about the brand network in our report: View Report

Also available for the Netherlands

Related geospatial datasets

• Administrative boundaries and full polygon dataset for the Netherlands: Map these ALDI locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for the Netherlands: Overlay demographic indicators to deeply understand the population structures and household types surrounding these ALDI locations.
• Explore demographics data insights for the Netherlands: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for the Netherlands (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.
• Income distribution and socio-economic patterns in the Netherlands — expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
• Explore a rich library of the Netherlands-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 the Netherlands

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?

• 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.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).

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 the Netherlands for potential market expansion."
• "Calculate the total population coverage for ALDI in the Netherlands using a 10km catchment radius around each coordinate."
• "Identify locations where multiple ALDI sites compete within overlapping catchment areas in the Netherlands."

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.