Min Købmand Supermarket Locations Dataset – Denmark
SKU: 14848556962

Min Købmand Supermarket Locations Dataset – Denmark

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Description

Min Købmand Supermarket Locations Dataset – DenmarkQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Min Kbmand is a local convenience and grocery banner under Dagrofa that supports independent shopkeepers in smaller communities. It focuses on accessibility and a personalized shopping experience tailored to local needs. There are 134 Min Kbmand Supermarkets as of 28 May 2026 in Denmark. This dataset is compiled and

Min Købmand is a local convenience and grocery banner under Dagrofa that supports independent shopkeepers in smaller communities. It focuses on accessibility and a personalized shopping experience tailored to local needs.

There are 134 Min Købmand Supermarkets as of 28 May 2026 in Denmark. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Min Købmand 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: 134 Min Købmand 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

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 Min Købmand locations in Denmark is found in Region Midtjylland (46 sites, equivalent to 3.33 Min Købmand supermarkets per 100,000 residents). This is followed by Region Syddanmark (33 sites; 2.66 per 100,000) and Region Nordjylland (23 sites; 3.9 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 3.9 locations per 100,000 people (population: 590,000), making it the most saturated region for Min Købmand in Denmark. By contrast, Region Hovedstaden records only 0.77 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?

  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial 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.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.

Frequently Asked Questions

Q: Does the dataset include latitude and longitude coordinates?

A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.

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: Does the dataset include accessibility-related attributes?

A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.

Q: How recent is this dataset?

A: This dataset was last updated on 28 May 2026 and is periodically refreshed through automated collection and validation workflows.

Q: How accurate are the coordinates?

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

Q: Can I use this dataset for competitor benchmarking?

A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.

Q: Can this dataset be used for academic or research purposes?

A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.

Q: Can I analyze this dataset with AI tools?

A: Yes. The dataset is structured for compatibility with AI workflows including ChatGPT, Claude, Gemini, RAG pipelines, and Python-based analytics.

Analyze this data with AI

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

  • "Analyze this Min Købmand dataset to identify underserved regions in Denmark for potential market expansion."
  • "Assess the accessibility of Min Købmand locations in Denmark based on proximity to population centers and public infrastructure."
  • "Cross-reference these supermarkets with urban transit data to score each location's accessibility for non-driving customers."

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: 14848556962

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