SKU: 22355460525

Coop Brugsen Supermarket Locations Dataset – Denmark

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Description

Coop Brugsen Supermarket Locations Dataset – DenmarkQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Coop Brugsen is a community focused supermarket chain that emphasizes local presence and quality everyday groceries. It operates as part of the consumer owned Coop Amba, often serving as a central shopping point for local neighborhoods. There are 135 Coop Brugsen Supermarkets as of 28 May 2026 in Denmark. This dataset is

Coop Brugsen is a community-focused supermarket chain that emphasizes local presence and quality everyday groceries. It operates as part of the consumer-owned Coop Amba, often serving as a central shopping point for local neighborhoods.

There are 135 Coop Brugsen Supermarkets as of 28 May 2026 in Denmark. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Coop Brugsen 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: 135 Coop Brugsen supermarkets in Denmark
  • Contents: Coordinates, addresses, postal codes, and administrative divisions
  • 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: 28 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
  • City
  • Kommune
  • Region
  • Population
  • Postal Code
  • Address
  • Wheelchair

Data Preview: Sample geospatial records from the Coop Brugsen dataset in Denmark

ID Location Title Latitude Longitude Postal Code Full Address
f433a8a... Brugsen 55.465689 10.020991 5463 63 Rugårdsvej, Harndrup, 5463, Denmark
0098d62... Brugsen 55.125439 11.951393 4720 50 Næstvedvej, Bårse, 4720, Denmark
d99f3e1... Brugsen 56.026147 8.393126 6940 100 Bredgade, Lem, 6940, Denmark
44c11a9... Brugsen 55.815276 10.638158 8305 12 Havnevej, Samsø, 8305, Denmark
9ebc41a... Brugsen 55.872155 9.612692 8763 5-7 Gl Jernbanevej, Rask Mølle, 8763,...

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 28 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 Coop Brugsen locations in Denmark is found in Region Midtjylland (41 sites, equivalent to 2.97 Coop Brugsen supermarkets per 100,000 residents). This is followed by Region Syddanmark (31 sites; 2.5 per 100,000) and Region Sjælland (27 sites; 3.16 per 100,000). From a market-penetration perspective, Region Sjælland has the highest brand density at 3.16 locations per 100,000 people (population: 855,000), making it the most saturated region for Coop Brugsen in Denmark. By contrast, Region Hovedstaden records only 0.93 locations per 100,000 residents (population: 1,940,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Denmark

Brand bundle

Top 12 Grocery Brands in Denmark - €244

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 Denmark - 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 →

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?

  • 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.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • 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.
  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
  • Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.

Frequently Asked Questions

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: Is this dataset useful for franchise analysis?

A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.

Q: Does the dataset contain duplicate locations?

A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.

Q: How accurate are the coordinates?

A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.

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.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Coop Brugsen dataset to identify underserved regions in Denmark for potential market expansion."
  • "Create a regional ranking of Coop Brugsen coverage efficiency using population-to-store ratios across Denmark."
  • "Calculate the total population coverage for Coop Brugsen in Denmark using a 10km catchment radius around each coordinate."

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.

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SKU: 22355460525

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