Poiesz Supermarket Locations Dataset – Netherlands

Poiesz Supermarket Locations Dataset – NetherlandsQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Poiesz is a family owned supermarket chain operating exclusively in the northern provinces of the Netherlands, particularly Friesland. It is deeply rooted in the local community and is known for its regional products and personal service. There are 87 Poiesz Supermarkets as of 26 May 2026 in the Netherlands.

Poiesz is a family-owned supermarket chain operating exclusively in the northern provinces of the Netherlands, particularly Friesland. It is deeply rooted in the local community and is known for its regional products and personal service.

There are 87 Poiesz Supermarkets as of 26 May 2026 in the Netherlands. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Poiesz 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 Poiesz dataset in Netherlands

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Poiesz locations in the Netherlands is found in Fryslân (54 sites, equivalent to 8.18 Poiesz supermarkets per 100,000 residents). This is followed by Groningen (19 sites; 3.17 per 100,000) and Drenthe (10 sites; 1.98 per 100,000). From a market-penetration perspective, Fryslân has the highest brand density at 8.18 locations per 100,000 people (population: 660,000), making it the most saturated region for Poiesz in the Netherlands. By contrast, Overijssel records only 0.17 locations per 100,000 residents (population: 1,195,000), 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 the Netherlands

Related geospatial datasets

• Administrative boundaries and full polygon dataset for the Netherlands: Map these Poiesz locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for the Netherlands: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Poiesz locations.
• Explore demographics data insights for the Netherlands: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for the Netherlands (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.
• Income distribution and socio-economic patterns in the Netherlands — expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
• Explore a rich library of the Netherlands-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 the Netherlands

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?

• 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.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.

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 Poiesz dataset to identify underserved regions in the Netherlands for potential market expansion."
• "Assess the accessibility of Poiesz locations in the Netherlands based on proximity to population centers and public infrastructure."
• "Analyze the relationship between Poiesz site distribution and regional economic activity across the Netherlands."

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.