MÄC-GEIZ Supermarket Locations Dataset – Germany

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 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 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.

✅ 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

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Germany: Map these MÄC-GEIZ locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Germany: Overlay demographic indicators to deeply understand the population structures and household types surrounding these MÄC-GEIZ locations.
• Explore demographics data insights for Germany: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Germany (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
• Explore a rich library of Germany-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 Germany

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?

• 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

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.