Norway Grocery Locations Dataset – Top 9 Supermarket Brands
Norway Grocery Locations Dataset – Top 9 Supermarket Brands
Top 9 Supermarket Chains Across Norway: Premium Multi-Brand Location Dataset
Unlock a complete, ready-to-use dataset featuring the leading Supermarket brands in Norway. This expertly compiled Top Brands dataset consolidates all major Supermarket chains in Norway, delivering a clean, standardised and analysis-ready collection of 4,037 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.
Last updated: 29 May 2026.
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
- Opening hours
Brand distribution
- Bunnpris – 250 locations in Norway
- Coop – 563 locations in Norway
- Europris – 289 locations in Norway
- Extra – 579 locations in Norway
- Joker – 459 locations in Norway
- Kiwi – 730 locations in Norway
- MENY – 178 locations in Norway
- REMA 1000 – 699 locations in Norway
- SPAR – 290 locations in Norway
Supermarkets distribution by Region
- Vestlandet: 1,157 supermarkets
- Oslo Og Viken: 1,116 supermarkets
- Agder Og Sør-Østlandet: 573 supermarkets
- Nord-Norge: 481 supermarkets
- Trøndelag: 377 supermarkets
- Innlandet: 333 supermarkets
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.
Related geospatial datasets
- Administrative boundaries and full polygon dataset for Norway: Map these supermarkets 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 supermarkets 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: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Is this dataset suitable for market analysis?
A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.
Q: Can I use this dataset for proximity analysis?
A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.
Q: Can I preview the dataset before purchasing?
A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.
Q: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
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.""Calculate the total population coverage for this multi-brand in Norway using a 10km catchment radius around each coordinate.""Identify high-income or high-density residential zones in Norway that currently lack nearby this multi-brand locations."