Shell Petrol Station Locations Dataset – Denmark

Shell in Denmark is managed by DCC Retail & IT under a brand license agreement, serving motorists with advanced V-Power fuels. The network includes many locations with "7-Eleven at Shell" convenience stores, catering to both commuters and long-distance travelers.

There are 217 Shell Petrol Stations as of 8 July 2026 in Denmark. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Shell 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 Quality Scorecard

Data Preview: Sample geospatial records from the Shell dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
bb1db55...	Shell (Saltum)	57.275975	9.699024	9493	44 Tinghøjgade, Saltum, 9493, Denmark
752dc61...	Shell (Billund)	55.735448	9.102158	7190	10 Grindstedvej, Billund, 7190, Denmark
79c182c...	Shell (Hornbæk)	56.089469	12.453297	3100	359 Nordre Strandvej, Hornbæk, 3100, ...
2ad2f97...	Shell (Kjellerup)	56.287870	9.420915	8620	8 Thorningvej, Kjellerup, 8620, Denmark
4c30634...	Shell (Skave)	56.390314	8.804918	7500	Skave, 7500, Denmark

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 Shell locations in Denmark is found in Region Syddanmark (63 sites, equivalent to 5.08 Shell petrol stations per 100,000 residents). This is followed by Region Midtjylland (62 sites; 4.49 per 100,000) and Region Hovedstaden (39 sites; 2.01 per 100,000). From a market-penetration perspective, Region Syddanmark has the highest brand density at 5.08 locations per 100,000 people (population: 1,240,000), making it the most saturated region for Shell in Denmark. By contrast, Region Hovedstaden records only 2.01 locations per 100,000 residents (population: 1,940,000), 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 Shell 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 Shell 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?

• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.

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 Shell dataset to identify underserved regions in Denmark for potential market expansion."
• "Calculate the total population coverage for Shell in Denmark using a 10km catchment radius around each coordinate."
• "Compare the spatial distribution of Shell locations against major competitor clusters to identify overlap and whitespace opportunities 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.