7-Eleven Supermarket Locations Dataset – Denmark

7-Eleven in Denmark is operated by Reitan Retail and serves as a leading convenience retailer found at high-traffic urban locations and transport hubs. It offers a wide range of ready-to-eat meals, snacks, and traditional convenience products tailored to the Danish market.

There are 152 7-Eleven Supermarkets as of 28 May 2026 in Denmark. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all 7-Eleven locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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 Preview: Sample geospatial records from the 7-Eleven dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
aa7b999...	7-Eleven (Søborg)	55.747070	12.494526	2860	270 Buddingevej, Søborg, 2860, Denmark
e61b315...	7-Eleven (Esbjerg)	55.487078	8.449181	6700	206 Stormgade, Esbjerg, 6700, Denmark
5f794ed...	7-Eleven (København S)	55.663937	12.601220	2300	43 Amagerbrogade, København, 2300, De...
597c70c...	7-Eleven (Nørrebro)	55.697595	12.544143	2200	190 Nørrebrogade, København, 2200, De...
f80c1cf...	7-Eleven (Hvidovre)	55.648770	12.470361	2650	30 Kettegård Alle, Hvidovre, 2650, 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 7-Eleven locations in Denmark is found in Region Hovedstaden (74 sites, equivalent to 3.81 7-Eleven supermarkets per 100,000 residents). This is followed by Region Syddanmark (24 sites; 1.94 per 100,000) and Region Sjælland (23 sites; 2.69 per 100,000). From a market-penetration perspective, Region Hovedstaden has the highest brand density at 3.81 locations per 100,000 people (population: 1,940,000), making it the most saturated region for 7-Eleven in Denmark. By contrast, Region Midtjylland records only 1.45 locations per 100,000 residents (population: 1,380,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Denmark

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Denmark: Map these 7-Eleven 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 7-Eleven 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?

• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.

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 7-Eleven dataset to identify underserved regions in Denmark for potential market expansion."
• "Analyze the clustering behavior of 7-Eleven locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
• "Evaluate how evenly 7-Eleven 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.