Top 10 Petrol Station Brands in Denmark: 2,425 Locations (CSV)
Top 10 Petrol Station Brands in Denmark: 2,425 Locations (CSV)
Top 10 Petrol Station Chains Across Denmark: Premium Multi-Brand Location Dataset
As of 27 October 2026, the Geolocet Top Brands dataset lists 2,425 petrol stations in Denmark. Each record has 18 fields, including Phone (present in 94.1% of records), Website (93.4%) and Opening hours (92.4%). The Danish petrol stations data is delivered as a CSV file.
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
- Fuel Type
- Opening hours
Brand distribution
- Circle K: 245 locations in Denmark
- F24: 137 locations in Denmark
- Go'on: 198 locations in Denmark
- INGO: 196 locations in Denmark
- OIL! tank & go: 71 locations in Denmark
- OK: 791 locations in Denmark
- Q8: 131 locations in Denmark
- Shell: 217 locations in Denmark
- tankpool24: 71 locations in Denmark
- Uno-X: 368 locations in Denmark
Petrol Stations distribution by Region
- Region Syddanmark: 664 petrol stations
- Region Midtjylland: 651 petrol stations
- Region Sjælland: 419 petrol stations
- Region Hovedstaden: 362 petrol stations
- Region Nordjylland: 329 petrol stations
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 petrol stations 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 petrol stations 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 petrol stations of the leading brands are there in each Region of Denmark?
A: In the Top Brands dataset, Region Syddanmark has 664 petrol stations (53.4 stores per 100,000 residents), Region Midtjylland 651 (47.08 stores per 100,000 residents) and Region Sjælland 419 (48.86 stores per 100,000 residents). Region Hovedstaden has 362 (18.63 stores per 100,000 residents) and Region Nordjylland 329 (55.46 stores per 100,000 residents).
Q: Which fields does the dataset include, and how complete are they?
A: The dataset has 18 fields. GUID, Title, Latitude, Longitude, Kommune, Region, Population, Postal Code, Address and Popularity Score are present in 100% of records; City in 99.3%; Phone in 94.1%; Website in 93.4%; Street in 92.9%; Street No in 92.5%; Opening hours in 92.4%; Fuel Type in 68.5%; Wheelchair in 37.2%.
Q: When was the data last updated?
A: The data was last updated on 27 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.""Create a prioritized shortlist of expansion zones in Denmark based on distance gaps between existing this multi-brand locations.""Using this this multi-brand data, find high-traffic retail corridors in Denmark with low petrol stations density for competitive positioning."