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Description
Hoogvliet Supermarket Locations Dataset – NetherlandsQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Hoogvliet is a regional Dutch supermarket chain operating mainly in the Randstad area, known for its modern distribution centers and efficient logistics. It offers a balanced mix of A brands and private labels with a focus on competitive pricing. There are 83 Hoogvliet Supermarkets as of 26 May 2026 in the
Hoogvliet is a regional Dutch supermarket chain operating mainly in the Randstad area, known for its modern distribution centers and efficient logistics. It offers a balanced mix of A-brands and private labels with a focus on competitive pricing.
There are 83 Hoogvliet 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 Hoogvliet 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: 83 Hoogvliet 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 Address98%
- Opening Hours99%
- Popularity Score100%
Data Preview: Sample geospatial records from the Hoogvliet dataset in Netherlands
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| bdca91d... | Hoogvliet (Ede) | 52.041520 | 5.667246 | 6711 NZ | 269 De Halte, Ede, 6711 NZ, Ede, Neth... |
| c08e0bf... | Hoogvliet (Aalsmeer) | 52.253374 | 4.764734 | 1431 WZ | 52 Beethovenlaan, Aalsmeer, 1431 WZ, ... |
| 08e5782... | Hoogvliet (Scheveningen) | 52.089875 | 4.257623 | 2583 HR | 37 Tesselseplein, Den Haag, 2583 HR, ... |
| 3add13b... | Hoogvliet ('s-Gravendeel) | 51.778457 | 4.616957 | 3295 BJ | 5 Langestraat, 's-Gravendeel, 3295 BJ... |
| 8b2aa72... | Hoogvliet (Hilversum) | 52.226499 | 5.178313 | 1211 CX | 7 Groest, Hilversum, 1211 CX, Hilvers... |
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 Hoogvliet locations in the Netherlands is found in Zuid-Holland (57 sites, equivalent to 1.48 Hoogvliet supermarkets per 100,000 residents). This is followed by Utrecht (13 sites; 0.93 per 100,000) and Noord-Holland (8 sites; 0.27 per 100,000). From a market-penetration perspective, Zuid-Holland has the highest brand density at 1.48 locations per 100,000 people (population: 3,860,000), making it the most saturated region for Hoogvliet in the Netherlands. By contrast, Noord-Brabant records only 0.04 locations per 100,000 residents (population: 2,660,000), 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 Hoogvliet 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 Hoogvliet 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?
- 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.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
Frequently Asked Questions
Q: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
Q: Can this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
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: How recent is this dataset?
A: This dataset was last updated on 26 May 2026 and is periodically refreshed through automated collection and validation workflows.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Hoogvliet dataset to identify underserved regions in the Netherlands for potential market expansion.""Identify municipalities in the Netherlands with strong demographic potential but no nearby Hoogvliet presence.""Analyze the relationship between Hoogvliet 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.
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