List of Kvickly Supermarkets in Denmark: 61 Locations (CSV)

Kvickly operates as a hypermarket chain under Coop Danmark, providing an extensive selection of both food items and non-food merchandise like home decor and clothing. It is one of the oldest and most established large-scale retail brands in the country.

As of 7 October 2026, Kvickly operates 61 supermarkets in Denmark, according to Geolocet. The CSV dataset has 17 fields, including Phone, Website and Opening hours, each present in 86.9% of records. Region Hovedstaden has the most Kvickly stores, with 20.

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 Kvickly dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
e9cc23a...	Kvickly (Rønne)	55.101722	14.692778	3700	28 Nordre Kystvej, Rønne, 3700, Denmark
722ed94...	Kvickly (Risskov)	56.189189	10.214849	8240	5 Frijsenborgvej, Risskov, 8240, Denmark
8e2cab2...	Kvickly (Stenløse)	55.767898	12.195479	3660	1 Centertorvet, Stenløse, 3660, Denmark
00ff8d5...	Kvickly (Grindsted)	55.759195	8.922360	7200	34 Vestergade, Grindsted, 7200, Denmark
689b2db...	Kvickly (København S)	55.664126	12.622921	2300	43 Strandlodsvej, København, 2300, De...

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 Kvickly locations in Denmark is found in Region Hovedstaden (20 sites, equivalent to 1.03 Kvickly supermarkets per 100,000 residents). This is followed by Region Midtjylland (16 sites; 1.16 per 100,000) and Region Syddanmark (13 sites; 1.05 per 100,000). From a market-penetration perspective, Region Midtjylland has the highest brand density at 1.16 locations per 100,000 people (population: 1,380,000), making it the most saturated region for Kvickly in Denmark. By contrast, Region Nordjylland records only 0.67 locations per 100,000 residents (population: 590,000), indicating a potential white-space opportunity for network expansion or competitor analysis. This granular regional data helps analysts understand specific market density, localized brand presence, and population-adjusted coverage across Denmark.

Region	Kvickly Locations	Population	Density per 100,000
Region Hovedstaden	20	1,940,000	1.03
Region Midtjylland	16	1,380,000	1.16
Region Syddanmark	13	1,240,000	1.05
Region Sjælland	8	855,000	0.93
Region Nordjylland	4	590,000	0.67

Geolocet is a store location data provider. See also our POI datasets.

Also available for Denmark

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Denmark: Map these Kvickly 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 Kvickly 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.

Who uses this data?

• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.

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 Kvickly dataset to identify underserved regions in Denmark for potential market expansion."
• "Identify fast-growing suburban areas in Denmark that currently have limited access to nearby supermarkets."
• "Evaluate how evenly Kvickly locations are distributed across provinces, districts, or municipalities in Denmark."

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.