SKU: 90588883114

MÄC-GEIZ Supermarket Locations Dataset – Germany

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Description

MÄC-GEIZ Supermarket Locations Dataset – GermanyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI MC GEIZ is a German discount non food retailer that also stocks a selection of everyday snacks, confectionery, and beverages. It is positioned as a local "household discounter" in many urban centers. There are 190 MC GEIZ Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by

MÄC-GEIZ is a German discount non-food retailer that also stocks a selection of everyday snacks, confectionery, and beverages. It is positioned as a local "household discounter" in many urban centers.

There are 190 MÄC-GEIZ Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all MÄC-GEIZ 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: 190 MÄC-GEIZ supermarkets in Germany
  • 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: 27 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
  • Area
  • City
  • Admin_level_1
  • Admin_level_2
  • Gemainde
  • Federal State
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)98%
  • Web Address71%
  • Opening Hours98%
  • Popularity Score100%

Data Preview: Sample geospatial records from the MÄC-GEIZ dataset in Germany

ID Location Title Latitude Longitude Postal Code Full Address
0e833d6... MÄC-GEIZ (Bentwisch) 54.115714 12.190957 18182 37 Hansestraße, Bentwisch, 18182, Ger...
08922b1... MÄC-GEIZ (Bezirk Treptow-Köpenick) 52.456478 13.509299 12439 21 Schnellerstraße, Berlin, 12439, Ge...
5401b20... MÄC-GEIZ (Schönebeck (Elbe)) 52.014517 11.716451 39218 10 Stadionstraße, Schönebeck (Elbe), ...
a625b52... MÄC-GEIZ (Grimmen) 54.105640 13.024744 18507 21 Jarpenbeeker Damm, Grimmen, 18507,...
2b449f6... MÄC-GEIZ (Rudolstadt) 50.718921 11.334487 07407 75-81 Marktstraße, Rudolstadt, 07407,...

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 27 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 MÄC-GEIZ locations in Germany is found in Sachsen-Anhalt (41 sites, equivalent to 1.89 MÄC-GEIZ supermarkets per 100,000 residents). This is followed by Sachsen (38 sites; 0.94 per 100,000) and Brandenburg (29 sites; 1.14 per 100,000). From a market-penetration perspective, Sachsen-Anhalt has the highest brand density at 1.89 locations per 100,000 people (population: 2,175,000), making it the most saturated region for MÄC-GEIZ in Germany. By contrast, Nordrhein-Westfalen records only 0.01 locations per 100,000 residents (population: 17,995,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Learn more about the brand network in our report: View Report

Also available for Germany

Brand bundle

Top 27 Grocery Brands in Germany - €480

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 Germany - 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?

  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
  • Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
  • 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.

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: Are phone numbers and websites included?

A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.

Q: Can I integrate this dataset into a PostgreSQL/PostGIS database?

A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.

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 administrative regions?

A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.

Q: Does the dataset include accessibility-related attributes?

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

Analyze this data with AI

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

  • "Analyze this MÄC-GEIZ dataset to identify underserved regions in Germany for potential market expansion."
  • "Measure average inter-store distance between MÄC-GEIZ locations across different regions of Germany."
  • "Compare the spatial distribution of MÄC-GEIZ locations against major competitor clusters to identify overlap and whitespace opportunities in Germany."

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: 90588883114

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