Go'on Petrol Station Locations Dataset – Denmark

Go'on is a Danish independent fuel company that focuses on establishing petrol stations in local and rural communities where larger chains are often absent. It operates through a modern, automated model and prides itself on being "locally close" to its customers.

There are 198 Go'on 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 Go'on 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 Go'on dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
565d9f0...	Go’on (Venslev)	55.776333	11.906234	4050	Venslev, 4050, Denmark
4c1b841...	Go’on (Sundstrup)	56.605184	9.313820	8832	Sundstrup, 8832, Denmark
c7192ba...	Go’on (Brabrand)	56.152946	10.091032	8220	691 Silkeborgvej, Brabrand, 8220, Den...
1151ef5...	Go’on (Bolderslev)	54.992817	9.271389	6392	10 Hellevad-Bovvej, Bolderslev, 6392,...
3c3374b...	Go’on (Holbæk)	55.703489	11.665043	4300	5 Springstrup, Holbæk, 4300, 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 Go'on locations in Denmark is found in Region Midtjylland (65 sites, equivalent to 4.71 Go'on petrol stations per 100,000 residents). This is followed by Region Syddanmark (51 sites; 4.11 per 100,000) and Region Nordjylland (43 sites; 7.29 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 7.29 locations per 100,000 people (population: 590,000), making it the most saturated region for Go'on in Denmark. By contrast, Region Hovedstaden records only 0.26 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 Go'on 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 Go'on 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?

• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• 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 Go'on dataset to identify underserved regions in Denmark for potential market expansion."
• "Evaluate the balance between urban and rural coverage within the current Go'on network in Denmark."
• "Rank the top-performing urban areas in Denmark for future Go'on expansion based on existing location density and regional population."

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.