Q8 Petrol Stations Denmark: Complete Location List with Coordinates

There are 115 Q8 Petrol Stations as of 3 February 2026 in Denmark. This fully geocoded dataset provides a clean and comprehensive list of all Q8 locations, including full address details, administrative divisions, and precise latitude/longitude coordinates for GIS, mapping, and analytical use.

Data Integrity & Geospatial Precision: This dataset is built using a robust, proprietary methodology that combines continuous web collection with on-demand updates to ensure market-leading data freshness. Each location undergoes rigorous, multi-stage validation — including both sophisticated automated filtering and final verification by geospatial analysts — to guarantee maximum precision, reliability, and fitness for professional analytical use.

Dataset fields included in the CSV:

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

Number of Q8 locations per region

• 41 Q8 Petrol Stations in Region Hovedstaden
• 28 Q8 Petrol Stations in Region Syddanmark
• 23 Q8 Petrol Stations in Region Midtjylland
• 12 Q8 Petrol Stations in Region Nordjylland
• 10 Q8 Petrol Stations in Region Sjælland

Data Preview (Top 5 Records)

Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all comprehensive fields and verify the data structure.

Acquire and Evaluate the Q8 Location Dataset

The full dataset and a free sample are both available for INSTANT download in a clean, analysis-ready CSV format. Use the free sample to evaluate the structure, fields, and geospatial precision before purchase. This comprehensive data is perfect for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

Get a huge discount with our Bundle dataset

For a broader market overview, consider the complete dataset Top 10 Petrol Stations Brands in Denmark. This bundle provides a fully standardised, country-wide list of all major chains and is available at a significantly discounted price of €264.

Explore the Top Brands dataset →

Related datasets and resources

• Administrative boundaries and full polygon dataset for Denmark: High-precision, ready-to-download boundary polygons covering all administrative levels — ideal for geospatial mapping, territorial analysis, and data enrichment.
• Demographics dataset for Denmark (population, households, age, income): Detailed socio-economic indicators at granular geographic levels. Perfect for market sizing, modelling, demand forecasting, and neighbourhood-level insights.
• Explore demographics data insights for Denmark: Methodology, use cases, definitions, and examples explaining how to use demographic and geospatial datasets for analysis and decision-making.
• Income indicators dataset for Denmark (small-area income analysis): Download a comprehensive 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, high-resolution wealth and income indicators, multi-level administrative boundaries, and a broad spectrum of Points of Interest including major brands and retail locations — all designed to power market analysis, spatial planning, and location intelligence. View 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.

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.