Locations of All Sites of the Top 10 Petrol Station Brands in Denmark: Dataset Available for Download

Locations of All Sites of the Top 10 Petrol Station Brands in Denmark: Dataset Available for Download

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Top 10 Petrol Station Chains Across Denmark: Premium Multi-Brand Location Dataset

Unlock a complete, ready-to-use dataset featuring the leading Petrol Station brands in Denmark. This expertly compiled Top Brands dataset consolidates all major Petrol Station chains in Denmark, delivering a clean, standardised and analysis-ready collection of 2,331 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.

Last updated: 3 February 2026.

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Kommune
  • Region
  • Postal Code
  • Address
  • Wheelchair

Brand distribution

  • Circle K – 241 locations in Denmark
  • F24 – 137 locations in Denmark
  • Go'on – 194 locations in Denmark
  • INGO – 194 locations in Denmark
  • OIL! tank & go – 71 locations in Denmark
  • OK – 765 locations in Denmark
  • Q8 – 115 locations in Denmark
  • Shell – 196 locations in Denmark
  • tankpool24 – 67 locations in Denmark
  • Uno-X – 351 locations in Denmark

Petrol Stations distribution by Region

  • Region Syddanmark: 641 petrolstations
  • Region Midtjylland: 615 petrolstations
  • Region Sjælland: 403 petrolstations
  • Region Hovedstaden: 357 petrolstations
  • Region Nordjylland: 314 petrolstations

Instant download 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.

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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.