Top 12 Supermarket Brands in Denmark: 2,448 Locations (CSV)
Top 12 Supermarket Brands in Denmark: 2,448 Locations (CSV)
Top 12 Supermarket Chains Across Denmark: Premium Multi-Brand Location Dataset
As of 7 October 2026, the Top Brands dataset lists 2,448 supermarkets of the leading brands in Denmark, according to Geolocet. The most stores are in Region Hovedstaden (666), Region Midtjylland (552) and Region Syddanmark (538). The dataset is a CSV file with 17 fields.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Kommune
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Brand distribution
- 7-Eleven: 155 locations in Denmark
- Coop Brugsen: 138 locations in Denmark
- Coop DagliBrugsen: 131 locations in Denmark
- Coop SuperBrugsen: 225 locations in Denmark
- føtex: 116 locations in Denmark
- Kvickly: 61 locations in Denmark
- Lidl: 172 locations in Denmark
- Meny: 121 locations in Denmark
- Min Købmand: 165 locations in Denmark
- Netto: 574 locations in Denmark
- REMA 1000: 439 locations in Denmark
- SPAR: 151 locations in Denmark
Supermarkets distribution by Region
- Region Hovedstaden: 666 supermarkets
- Region Midtjylland: 552 supermarkets
- Region Syddanmark: 538 supermarkets
- Region Sjælland: 389 supermarkets
- Region Nordjylland: 303 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.
Geolocet is a store location data provider. See also our POI datasets.
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 contact@geolocet.com.
Frequently Asked Questions
Q: How many supermarkets of the leading brands are there in each Region of Denmark?
A: Region Hovedstaden has 666 supermarkets (34.27 stores per 100,000 residents), Region Midtjylland 552 (39.92 stores per 100,000 residents) and Region Syddanmark 538 (43.27 stores per 100,000 residents). Region Sjælland has 389 (45.36 stores per 100,000 residents) and Region Nordjylland 303 (51.07 stores per 100,000 residents).
Q: Which fields does the dataset include, and how complete are they?
A: The dataset has 17 fields. GUID, Title, Latitude, Longitude, Kommune, Region, Population, Postal Code, Address and Popularity Score are present in 100% of records; Street No is 97.3%, Street 97.4%, City 99.9%, Wheelchair 98.7%, Phone 87.5%, Website 88.6% and Opening hours 89.7%.
Q: When was the data last updated?
A: The data was last updated on 7 October 2026.
Q: Under which licence can I use the data?
A: The data is provided under the Geolocet terms of use: https://geolocet.com/pages/terms-of-use.
Q: In which format is the data delivered?
A: The data is delivered as a CSV file.
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."