All Supermarket Locations in the Netherlands: Complete Geographic Dataset Available for Download

All Supermarkets locations in the Netherlands — complete national dataset

This dataset contains a complete, geocoded collection of Supermarkets in the Netherlands, including branded chains and independent locations. It provides a complete national coverage with 17,945 verified locations suitable for territory planning, market sizing and spatial analysis.

Last updated: 2 December 2025.

Dataset fields included in the CSV:

• GUID
• Title
• Latitude
• Longitude
• Street number
• Street
• Locality
• City
• Region
• Province
• Postal code
• Address
• Popularity Score
• Wheelchair
• Phone
• Website
• Opening hours

Brand distribution

• Action – 415 locations in the Netherlands
• Albert Heijn – 1,228 locations in the Netherlands
• ALDI – 477 locations in the Netherlands
• Alexanderhoeve – 71 locations in the Netherlands
• DekaMarkt – 103 locations in the Netherlands
• Dirk van den Broek – 129 locations in the Netherlands
• Ekoplaza – 84 locations in the Netherlands
• G & W Health Store – 81 locations in the Netherlands
• Holland & Barrett – 187 locations in the Netherlands
• Hoogvliet – 81 locations in the Netherlands
• Jumbo – 696 locations in the Netherlands
• Lidl – 435 locations in the Netherlands
• Nettorama – 64 locations in the Netherlands
• PLUS – 488 locations in the Netherlands
• Poiesz – 84 locations in the Netherlands
• SPAR – 415 locations in the Netherlands
• Vomar – 105 locations in the Netherlands

Supermarkets distribution by Region

• Drenthe: 494 supermarkets
• Flevoland: 428 supermarkets
• Friesland: 764 supermarkets
• Gelderland: 2,135 supermarkets
• Groningen: 557 supermarkets
• Limburg: 1,185 supermarkets
• Noord-Brabant: 2,511 supermarkets
• Noord-Holland: 3,155 supermarkets
• Overijssel: 1,194 supermarkets
• Utrecht: 1,362 supermarkets
• Zeeland: 518 supermarkets
• Zuid-Holland: 3,642 supermarkets

Instant download of the complete locations dataset for the Netherlands

Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

Evaluate the dataset before purchase

A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.

Related datasets and resources

• Administrative boundaries and full polygon dataset for the Netherlands: High-precision, ready-to-download boundary polygons covering all administrative levels — ideal for geospatial mapping, territorial analysis, and data enrichment.
• Demographics dataset for the Netherlands (population, households, age, income): Detailed socio-economic indicators at granular geographic levels. Perfect for market sizing, modelling, demand forecasting, and neighbourhood-level insights.
• Explore demographics data insights for the Netherlands: Methodology, use cases, definitions, and examples explaining how to use demographic and geospatial datasets for analysis and decision-making.
• Income indicators dataset for the Netherlands (small-area income analysis): Download a comprehensive 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, high-resolution wealth and income indicators, multi-level administrative boundaries, and a broad spectrum of Points of Interest including major brands and retail locations — all designed to power market analysis, spatial planning, and location intelligence. View 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.