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Description
Denmark Grocery Locations Dataset – Top 12 Supermarket BrandsQuick links: Overview Dataset Fields Brand Distribution Distribution by Region Download FAQ Analyze with AI Top 12 Supermarket Chains Across Denmark: Premium Multi Brand Location Dataset Unlock a complete, ready to use dataset featuring the leading Supermarket brands in Denmark. This expertly compiled Top Brands dataset consolidates all major Supermarket chains in Denmark, delivering a clean, standardised and analysis ready collection of 2,385
Top 12 Supermarket Chains Across Denmark: Premium Multi-Brand Location Dataset
Unlock a complete, ready-to-use dataset featuring the leading Supermarket brands in Denmark. This expertly compiled Top Brands dataset consolidates all major Supermarket chains in Denmark, delivering a clean, standardised and analysis-ready collection of 2,385 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.
Last updated: 28 May 2026.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Kommune
- Region
- Population
- Postal Code
- Address
- Wheelchair
Brand distribution
- 7-Eleven – 152 locations in Denmark
- Coop Brugsen – 135 locations in Denmark
- Coop DagliBrugsen – 130 locations in Denmark
- Coop SuperBrugsen – 216 locations in Denmark
- føtex – 116 locations in Denmark
- Kvickly – 61 locations in Denmark
- Lidl – 172 locations in Denmark
- Meny – 118 locations in Denmark
- Min Købmand – 134 locations in Denmark
- Netto – 571 locations in Denmark
- REMA 1000 – 431 locations in Denmark
- SPAR – 149 locations in Denmark
Supermarkets distribution by Region
- Region Hovedstaden: 656 supermarkets
- Region Midtjylland: 534 supermarkets
- Region Syddanmark: 524 supermarkets
- Region Sjælland: 382 supermarkets
- Region Nordjylland: 289 supermarkets
Direct access after purchase of the complete locations dataset for Denmark
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 Denmark: Map these supermarkets locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Denmark: Overlay demographic indicators to deeply understand the population structures and household types surrounding these supermarkets locations.
- Explore demographics data insights for Denmark: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Denmark (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 Denmark - 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 Denmark-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 Denmark
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].
Frequently Asked Questions
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: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Can this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Does the dataset include latitude and longitude coordinates?
A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.
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 Denmark for potential market expansion.""Assess how effectively the current this multi-brand network covers major commercial and residential hubs across Denmark.""Assess the accessibility of this multi-brand locations in Denmark based on proximity to population centers and public infrastructure."
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