St1 Petrol Station Locations Dataset – Norway

St1 is a Finnish energy group with a strong focus on sustainability and CO2-aware energy production. In Norway, they operate both their own St1 branded automated stations and the retail network of Shell.

There are 239 St1 Petrol Stations as of 7 July 2026 in Norway. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all St1 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 St1 dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
4f8fa00...	St1 Truck Nortura Tønsberg	59.299245	10.344527	3170	15 Åskollen, 3170, Tønsberg, Norway
0e76078...	St1 (Sogndal)	61.225918	7.101340	6856	43 Stedjevegen, 6856, Sogndal, Norway
a3107a3...	St1 (Bjerkvik)	68.551131	17.557621	8530	17 Nordmoveien, 8530, Narvik, Norway
7018350...	St1 Sandviken	60.409099	5.322882	5036	44 B Sandviksveien, 5036, Bergen, Norway
3c5e402...	St1 (Bydel Østensjø)	59.897834	10.814478	0679	1 Beiteveien, 0679, Oslo, Norway

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 St1 locations in Norway is found in Oslo Og Viken (70 sites, equivalent to 3.38 St1 petrol stations per 100,000 residents). This is followed by Vestlandet (58 sites; 4.04 per 100,000) and Nord-Norge (40 sites; 8.16 per 100,000). From a market-penetration perspective, Nord-Norge has the highest brand density at 8.16 locations per 100,000 people (population: 490,000), making it the most saturated region for St1 in Norway. By contrast, Oslo Og Viken records only 3.38 locations per 100,000 residents (population: 2,070,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Norway: Map these St1 locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Norway: Overlay demographic indicators to deeply understand the population structures and household types surrounding these St1 locations.
• Explore demographics data insights for Norway: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Explore a rich library of Norway-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 Norway

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?

• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• 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.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• 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 St1 dataset to identify underserved regions in Norway for potential market expansion."
• "Detect clusters where St1 sites are in close proximity to analyze potential self-cannibalization in Norway."
• "Rank the top-performing urban areas in Norway for future St1 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.