List of Petrol Stations in Norway: 3,002 Locations (CSV)
List of Petrol Stations in Norway: 3,002 Locations (CSV)
Petrol Stations in Norway: 3,002 locations
As of 28 October 2026, the dataset lists 3,002 petrol stations in Norway, according to Geolocet. The CSV file has 20 fields, including Latitude, Longitude, Municipality and Region. Municipalities with the most petrol stations are Oslo (96), Bergen (63) and Kristiansand (56).
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- Town
- Admin_level_1
- Admin_level_2
- Municipality
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Fuel Type
- Opening hours
Brand distribution
- Bunker Oil: 79 locations in Norway
- Circle K: 503 locations in Norway
- Esso: 330 locations in Norway
- Shell: 45 locations in Norway
- St1: 241 locations in Norway
- Uno-X: 369 locations in Norway
Petrol Stations distribution by Region
- Innlandet: 316 petrol stations
- Nord-Norge: 424 petrol stations
- Trøndelag: 323 petrol stations
- Vestlandet: 811 petrol stations
- Agder Og Sør-Østlandet: 501 petrol stations
- Oslo Og Viken: 627 petrol stations
Direct access after purchase of the complete locations dataset for Norway
Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.
Evaluate the dataset before purchase
A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.
Geolocet is a store location data provider. See also our POI datasets.
Related geospatial datasets
- Administrative boundaries and full polygon dataset for Norway: Map these petrol stations 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 petrol stations 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.
Frequently Asked Questions
Q: How many petrol stations are there in each Region of Norway?
A: As of 28 October 2026, the Regions with the most petrol stations are Vestlandet with 811 (56.33 stores per 100,000 residents), Oslo Og Viken with 627 (30.29 stores per 100,000 residents) and Agder Og Sør-Østlandet with 501 (65.49 stores per 100,000 residents).
Q: Which fields does the dataset include, and how complete are they?
A: The dataset has 20 fields. GUID, Title, Latitude, Longitude, Admin_level_1, Municipality, Region, Population, Address and Popularity Score are present in 100% of records; Street No is present in 87.9%, Street in 93.0%, Town in 95.7%, Admin_level_2 in 98.6%, Postal Code in 97.6%, Wheelchair in 43.6%, Phone in 68.6%, Website in 67.2%, Fuel Type in 54.0% and Opening hours in 74.9%.
Q: When was the data last updated?
A: The data was last updated on 28 October 2026.
Q: Under which licence can I use the data?
A: The data is licensed under the Geolocet terms of use: https://geolocet.com/pages/terms-of-use.
Q: In which format is the data delivered?
A: The data is delivered as a CSV file.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this this multi-brand dataset to identify underserved regions in Norway for potential market expansion.""Rank the top-performing urban areas in Norway for future this multi-brand expansion based on existing location density and regional population.""Create a prioritized shortlist of expansion zones in Norway based on distance gaps between existing this multi-brand locations."