NP-Markt Supermarket Locations Dataset – Germany

NP-Markt Supermarket Locations Dataset – GermanyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI NP Markt (Niedrig Preis) is a discount supermarket banner owned by the EDEKA Minden Hannover regional group. It is focused on providing essential groceries at low prices in neighborhood locations. There are 195 NP Markt Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by

NP-Markt (Niedrig-Preis) is a discount supermarket banner owned by the EDEKA Minden-Hannover regional group. It is focused on providing essential groceries at low prices in neighborhood locations.

There are 195 NP-Markt Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all NP-Markt 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 NP-Markt dataset in Germany

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 NP-Markt locations in Germany is found in Sachsen-Anhalt (108 sites, equivalent to 4.97 NP-Markt supermarkets per 100,000 residents). This is followed by Niedersachsen (53 sites; 0.66 per 100,000) and Brandenburg (22 sites; 0.86 per 100,000). From a market-penetration perspective, Sachsen-Anhalt has the highest brand density at 4.97 locations per 100,000 people (population: 2,175,000), making it the most saturated region for NP-Markt in Germany. By contrast, Nordrhein-Westfalen records only 0.03 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 NP-Markt 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 NP-Markt 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 [email protected].

Who uses this data?

• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.

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 NP-Markt dataset to identify underserved regions in Germany for potential market expansion."
• "Evaluate the balance between urban and rural coverage within the current NP-Markt network in Germany."
• "Analyze which NP-Markt locations in Germany are positioned in highly competitive retail zones versus standalone markets."

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.