List of Go'on Petrol Stations in Denmark: 198 Locations (CSV)

List of Go'on Petrol Stations in Denmark: 198 Locations (CSV)

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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.

As of 27 October 2026, Go'on operates 198 petrol stations in Denmark, according to Geolocet. Region Midtjylland has 65 of them, Region Syddanmark 51 and Region Nordjylland 43. The CSV file has 18 fields, including Phone (present in 98.0% of records), Website (97.5%) and Opening hours (97.5%).

Dataset Summary

  • Dataset Coverage: 198 Go'on petrol stations in Denmark
  • Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
  • File Format: Fully geocoded CSV dataset (UTF-8)
  • Free Sample: Instantly accessible dataset to verify structure and data quality
  • Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
  • Last Updated: 27 October 2026

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.

Map showing the geographical distribution of Go'on locations in Denmark

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

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)98%
  • Web Address97%
  • Opening Hours97%
  • Popularity Score100%
  • Fuel Type88%

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.

Why download from Geolocet?

  • Instant download: full dataset available immediately after purchase, no waiting, no manual fulfilment
  • Free sample first: verify structure, fields, and coordinate precision before you commit
  • Analysis-ready CSV: clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
  • Regularly updated: last updated 27 October 2026

✅ Data looks right? Add to cart ↑ or download the free sample first.

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 4.7 Go'on petrol stations per 100,000 residents). This is followed by Region Syddanmark (51 sites; 4.1 per 100,000) and Region Nordjylland (43 sites; 7.25 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 7.25 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. This granular regional data helps analysts understand specific market density, localized brand presence, and population-adjusted coverage across Denmark.

Region Go'on Locations Population Density per 100,000
Region Midtjylland 65 1,380,000 4.7
Region Syddanmark 51 1,240,000 4.1
Region Nordjylland 43 590,000 7.25
Region Sjælland 34 855,000 3.96
Region Hovedstaden 5 1,940,000 0.26

Geolocet is a store location data provider. See also our POI datasets.

Also available for Denmark

Brand bundle

Top 10 Petrol Station Brands in Denmark: 2,425 Locations

All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.

View the Top 10 Petrol Station Brands dataset →

Full market coverage

Denmark Petrol Station POI Dataset: 2,933 Locations

Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.

View the Denmark Petrol Station POI dataset →

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

Q: How many Go'on petrol stations are there in each Region of Denmark?

A: Go'on has 65 petrol stations in Region Midtjylland, 51 in Region Syddanmark, 43 in Region Nordjylland, 34 in Region Sjælland and 5 in Region Hovedstaden. Stores per 100,000 residents: 4.70 in Region Midtjylland, 4.10 in Region Syddanmark, 7.25 in Region Nordjylland, 3.96 in Region Sjælland and 0.26 in Region Hovedstaden.

Q: Which fields does the dataset include, and how complete are they?

A: The dataset has 18 fields, and GUID, Title, Latitude, Longitude, City, Kommune, Region, Population, Postal Code, Address and Popularity Score are each present in 100% of records. Street No is present in 89.4% of records, Street in 89.4%, Wheelchair in 97.5%, Phone in 98.0%, Website in 97.5%, Fuel Type in 88.4% and Opening hours in 97.5%.

Q: When was the data last updated?

A: Geolocet last updated this Go'on dataset on 27 October 2026.

Q: Under which licence can I use the data?

A: The Geolocet terms of use at https://geolocet.com/pages/terms-of-use set out how you can use this Go'on dataset.

Q: In which format is the data delivered?

A: The Danish Go'on petrol station data is delivered as a CSV file with 18 fields.

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.