Esso Petrol Station Locations Dataset – Norway

Esso maintains a strong presence in Norway through a partnership with the retail group NorgesGruppen. Many of its stations feature Deli de Luca convenience stores, blending high-quality fuel with premium "on-the-go" food.

There are 330 Esso 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 Esso 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 Esso dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
5b85db4...	Esso (Løten)	60.849544	11.368289	2340	2 Ånestadvegen, 2340, Løten, Norway
daca759...	Esso (Skogen)	69.230336	17.990539	9300	38 Storgata, 9300, Senja, Norway
0138a74...	Esso (Bodø)	67.277144	14.431498	8008	67 Stormyrveien, 8008, Bodø, Norway
5f06549...	Esso (Fredrikstad)	59.215455	10.942175	1607	18 Apenes gate, 1607, Fredrikstad, No...
6e3215d...	Esso (Arendal)	58.464730	8.745978	4847	4 Frolandsveien, 4847, Arendal, 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 Esso locations in Norway is found in Oslo Og Viken (85 sites, equivalent to 4.11 Esso petrol stations per 100,000 residents). This is followed by Vestlandet (83 sites; 5.78 per 100,000) and Agder Og Sør-Østlandet (66 sites; 8.63 per 100,000). From a market-penetration perspective, Innlandet has the highest brand density at 9.21 locations per 100,000 people (population: 380,000), making it the most saturated region for Esso in Norway. By contrast, Oslo Og Viken records only 4.11 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 Esso 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 Esso 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?

• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• 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.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.

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 Esso dataset to identify underserved regions in Norway for potential market expansion."
• "Identify the most central Esso locations in Norway to serve as hubs for a last-mile delivery network."
• "Generate regional density heatmaps showing where Esso has the strongest and weakest retail presence in Norway."

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.