F24 Petrol Station Locations Dataset – Denmark

F24 is an automated, self-service petrol station brand in Denmark managed by Q8 Danmark. It focuses on providing a quick and efficient fueling experience at low prices through a nationwide network of unmanned sites.

There are 137 F24 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 F24 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 F24 dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
4d79a82...	F24 (Frederikshavn)	57.433836	10.520699	9900	27 Koktvedvej, Frederikshavn, 9900, D...
9eec56b...	F24 (Støvring)	56.884457	9.839460	9530	119 Hobrovej, Støvring, 9530, Denmark
ae30732...	F24 (Nørresundby)	57.067448	9.944173	9400	59 Hjørringvej, Nørresundby, 9400, De...
da04849...	F24 (Højby)	55.912877	11.592317	4573	1 Stenstrupvej, Højby, 4573, Denmark
c63d116...	F24 (Hillerød)	55.948915	12.314877	3400	69 Fredensborgvej, Hillerød, 3400, 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 F24 locations in Denmark is found in Region Syddanmark (36 sites, equivalent to 2.9 F24 petrol stations per 100,000 residents). This is followed by Region Midtjylland (31 sites; 2.25 per 100,000) and Region Hovedstaden (28 sites; 1.44 per 100,000). From a market-penetration perspective, Region Sjælland has the highest brand density at 2.92 locations per 100,000 people (population: 855,000), making it the most saturated region for F24 in Denmark. By contrast, Region Hovedstaden records only 1.44 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 F24 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 F24 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?

• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• 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.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.

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 F24 dataset to identify underserved regions in Denmark for potential market expansion."
• "Identify locations where multiple F24 sites compete within overlapping catchment areas in Denmark."
• "Identify strategic locations in Denmark where new F24 sites could maximize geographic coverage while minimizing overlap."

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.