All Supermarket Locations in the Netherlands: Complete Geographic Dataset
All Supermarket Locations in the Netherlands: Complete Geographic Dataset
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 19,036 verified locations suitable for territory planning, market sizing and spatial analysis.
Last updated: 26 May 2026.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Settlement
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Brand distribution
- Action – 423 locations in the Netherlands
- Albert Heijn – 1,261 locations in the Netherlands
- ALDI – 494 locations in the Netherlands
- Alexanderhoeve – 74 locations in the Netherlands
- DekaMarkt – 107 locations in the Netherlands
- Dirk van den Broek – 134 locations in the Netherlands
- Ekoplaza – 91 locations in the Netherlands
- Holland & Barrett – 200 locations in the Netherlands
- Hoogvliet – 83 locations in the Netherlands
- Jumbo – 724 locations in the Netherlands
- Lidl – 449 locations in the Netherlands
- Nettorama – 82 locations in the Netherlands
- PLUS – 479 locations in the Netherlands
- Poiesz – 87 locations in the Netherlands
- SPAR – 454 locations in the Netherlands
- Vomar – 108 locations in the Netherlands
Supermarkets distribution by Region
- Drenthe: 524 supermarkets
- Flevoland: 460 supermarkets
- Fryslân: 786 supermarkets
- Gelderland: 2,241 supermarkets
- Groningen: 591 supermarkets
- Limburg: 1,260 supermarkets
- Noord-Brabant: 2,679 supermarkets
- Noord-Holland: 3,370 supermarkets
- Overijssel: 1,257 supermarkets
- Utrecht: 1,430 supermarkets
- Zeeland: 523 supermarkets
- Zuid-Holland: 3,915 supermarkets
Direct access after purchase 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 geospatial datasets
- Administrative boundaries and full polygon dataset for the Netherlands: Map these supermarkets 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 supermarkets 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.
Frequently Asked Questions
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: How are addresses standardized?
A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Is this dataset suitable for market analysis?
A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.
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: Does the dataset contain duplicate locations?
A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.
Q: How recent is this dataset?
A: This dataset was last updated on May 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Are the datasets suitable for machine learning workflows?
A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this this multi-brand dataset to identify underserved regions in the Netherlands for potential market expansion.""Analyze proximity between this multi-brand locations and major highways, ring roads, or arterial transport corridors in the Netherlands.""Identify fast-growing suburban areas in the Netherlands that currently have limited access to nearby supermarkets."