Action Supermarket Locations Dataset – Netherlands

Action Supermarket Locations Dataset – NetherlandsQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Action is a hugely successful Dutch international non food discounter that also carries a selection of ambient groceries and snacks. It is headquartered in the Netherlands and is famous for its low prices and constantly changing assortment. There are 423 Action Supermarkets as of 26 May 2026 in the

Action is a hugely successful Dutch international non-food discounter that also carries a selection of ambient groceries and snacks. It is headquartered in the Netherlands and is famous for its low prices and constantly changing assortment.

There are 423 Action 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 Action 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 Action 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 Action locations in the Netherlands is found in Zuid-Holland (75 sites, equivalent to 1.94 Action supermarkets per 100,000 residents). This is followed by Noord-Brabant (67 sites; 2.52 per 100,000) and Noord-Holland (62 sites; 2.07 per 100,000). From a market-penetration perspective, Limburg has the highest brand density at 3.17 locations per 100,000 people (population: 1,135,000), making it the most saturated region for Action in the Netherlands. By contrast, Utrecht records only 1.71 locations per 100,000 residents (population: 1,405,000), 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 Action 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 Action 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?

• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• 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 Action dataset to identify underserved regions in the Netherlands for potential market expansion."
• "Assess how effectively the current Action network covers major commercial and residential hubs across the Netherlands."
• "Analyze proximity between Action locations and major highways, ring roads, or arterial transport corridors in 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.