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Description
DekaMarkt Supermarket Locations Dataset – NetherlandsQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI DekaMarkt is a Dutch supermarket chain that was one of the first in the country to introduce the self service concept. It is part of the Detailresult Group and emphasizes fresh product departments and a strong family oriented shopping experience. There are 107 DekaMarkt Supermarkets as of 26 May 2026 in the
DekaMarkt is a Dutch supermarket chain that was one of the first in the country to introduce the self-service concept. It is part of the Detailresult Group and emphasizes fresh product departments and a strong family-oriented shopping experience.
There are 107 DekaMarkt 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 DekaMarkt 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: 107 DekaMarkt supermarkets in the Netherlands
- 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: 26 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
- City
- Admin_level_1
- Admin_level_2
- Settlement
- Region
- 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 Address97%
- Opening Hours98%
- Popularity Score100%
Data Preview: Sample geospatial records from the DekaMarkt dataset in Netherlands
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 094a814... | DekaMarkt (Zaandam) | 52.448238 | 4.822183 | 1502 BD | 177 Oostzijde, Zaandam, 1502 BD, Zaan... |
| b0c1392... | DekaMarkt (Lunteren) | 52.085074 | 5.621242 | 6741 DN | 60 Dorpsstraat, Lunteren, 6741 DN, Ed... |
| ec60ca5... | DekaMarkt (Egmond-Binnen) | 52.596016 | 4.658046 | 1935 BH | 20 Abdijlaan, Egmond-Binnen, 1935 BH,... |
| 47c49be... | DekaMarkt (Assendelft) | 52.466393 | 4.740662 | 1566 BE | 387 Dorpsstraat, Assendelft, 1566 BE,... |
| 3b7133f... | DekaMarkt (Velsen-Noord) | 52.472248 | 4.645444 | 1951 EC | 133-135 Wijkerstraatweg, Velsen-Noord... |
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 26 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 DekaMarkt locations in the Netherlands is found in Noord-Holland (76 sites, equivalent to 2.54 DekaMarkt supermarkets per 100,000 residents). This is followed by Gelderland (22 sites; 1.02 per 100,000) and Flevoland (3 sites; 0.66 per 100,000). From a market-penetration perspective, Noord-Holland has the highest brand density at 2.54 locations per 100,000 people (population: 2,990,000), making it the most saturated region for DekaMarkt in the Netherlands. By contrast, Zuid-Holland records only 0.05 locations per 100,000 residents (population: 3,860,000), 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
Brand bundle
Top 16 Grocery Brands in the Netherlands — €250
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 the Netherlands — 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for the Netherlands: Map these DekaMarkt 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 DekaMarkt 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?
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- 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.
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
Frequently Asked Questions
Q: Is this dataset useful for accessibility studies?
A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.
Q: What file format is included with the download?
A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.
Q: Can I analyze this dataset with AI tools?
A: Yes. The dataset is structured for compatibility with AI workflows including ChatGPT, Claude, Gemini, RAG pipelines, and Python-based analytics.
Q: Can this dataset be used for academic or research purposes?
A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.
Q: Does the dataset contain duplicate locations?
A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.
Q: Can I use this dataset for proximity analysis?
A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.
Q: How accurate are the coordinates?
A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this DekaMarkt dataset to identify underserved regions in the Netherlands for potential market expansion.""Identify DekaMarkt sites with large footprints in the Netherlands that are optimal candidates for EV charging infrastructure overlays.""Identify locations where multiple DekaMarkt sites compete within overlapping catchment areas 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.
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