REMA 1000 Supermarket Locations Dataset – Norway

REMA 1000 Supermarket Locations Dataset – NorwayQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI REMA 1000 is a top tier discount grocery chain in Norway known for its "simple is best" philosophy and strong private label presence. It is the flagship brand of Reitan Retail and maintains a significant share of the Norwegian grocery market. There are 699 REMA 1000 Supermarkets as of 29 May 2026 in Norway.

REMA 1000 is a top-tier discount grocery chain in Norway known for its "simple is best" philosophy and strong private label presence. It is the flagship brand of Reitan Retail and maintains a significant share of the Norwegian grocery market.

There are 699 REMA 1000 Supermarkets as of 29 May 2026 in Norway. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all REMA 1000 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 REMA 1000 dataset in Norway

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of REMA 1000 locations in Norway is found in Oslo Og Viken (217 sites, equivalent to 10.48 REMA 1000 supermarkets per 100,000 residents). This is followed by Vestlandet (185 sites; 12.89 per 100,000) and Agder Og Sør-Østlandet (100 sites; 13.07 per 100,000). From a market-penetration perspective, Trøndelag has the highest brand density at 15.51 locations per 100,000 people (population: 490,000), making it the most saturated region for REMA 1000 in Norway. By contrast, Oslo Og Viken records only 10.48 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

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Norway: Map these REMA 1000 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 REMA 1000 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 [email protected].

Who uses this data?

• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• 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 REMA 1000 dataset to identify underserved regions in Norway for potential market expansion."
• "Map the concentration of REMA 1000 locations relative to major retail centers and shopping districts in Norway."
• "Evaluate how evenly REMA 1000 locations are distributed across provinces, districts, or municipalities 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.