Extra Supermarket Locations Dataset – Norway
Extra Supermarket Locations Dataset – Norway
Extra is the largest discount supermarket chain under the Coop Norge umbrella, combining low prices with a wide selection of fresh produce. It has expanded rapidly to compete in the high-volume discount sector across Norway.
There are 579 Extra Supermarkets as of 29 May 2026 in Norway. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Extra locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.
Dataset Summary
- Dataset Coverage: 579 Extra supermarkets in Norway
- 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: 29 May 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.
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
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)99%
- Web Address98%
- Opening Hours99%
- Popularity Score100%
Data Preview: Sample geospatial records from the Extra dataset in Norway
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| dd45074... | Extra (Husnes) | 59.863445 | 5.754752 | 5460 | 11 Heiamyro, 5460, Kvinnherad, Norway |
| 33dd759... | Extra (Bydel Alna) | 59.942145 | 10.897710 | 1051 | 1 Trygve Lies Plass, 1051, Oslo, Norway |
| e92ce05... | Extra (Spillum) | 64.457219 | 11.532183 | 7820 | 7 Nøsthaugvegen, 7820, Namsos, Norway |
| 8926aeb... | Extra (Vikeså) | 58.632089 | 6.078192 | 4389 | 1 Vikesågata, 4389, Bjerkreim, Norway |
| ccbd1ed... | Extra (Åsane) | 60.436489 | 5.318580 | 5105 | 1 Vollane, 5105, Bergen, 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.
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 29 May 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 Extra locations in Norway is found in Oslo Og Viken (154 sites, equivalent to 7.44 Extra supermarkets per 100,000 residents). This is followed by Vestlandet (154 sites; 10.73 per 100,000) and Agder Og Sør-Østlandet (89 sites; 11.63 per 100,000). From a market-penetration perspective, Nord-Norge has the highest brand density at 16.94 locations per 100,000 people (population: 490,000), making it the most saturated region for Extra in Norway. By contrast, Oslo Og Viken records only 7.44 locations per 100,000 residents (population: 2,070,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Also available for Norway
Brand bundle
Top 9 Grocery Brands in Norway - €240
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View Top Brands dataset →Full market coverage
All Grocery Locations in Norway - complete POI dataset
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 full POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Norway: Map these Extra 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 Extra 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?
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- 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.
Frequently Asked Questions
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Q: How recent is this dataset?
A: This dataset was last updated on 29 May 2026 and is periodically refreshed through automated collection and validation workflows.
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Is this dataset useful for accessibility studies?
A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Extra dataset to identify underserved regions in Norway for potential market expansion.""Identify high-income or high-density residential zones in Norway that currently lack nearby Extra locations.""Identify locations where multiple Extra sites compete within overlapping catchment areas 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.