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Description
Holland & Barrett Supermarket Locations Dataset – NetherlandsQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Holland & Barrett is a leading health and wellness retailer in the Netherlands, offering a wide range of vitamins, minerals, and specialized health foods. It has successfully expanded across the country, often occupying prominent high street retail locations. There are 200 Holland & Barrett Supermarkets as of
Holland & Barrett is a leading health and wellness retailer in the Netherlands, offering a wide range of vitamins, minerals, and specialized health foods. It has successfully expanded across the country, often occupying prominent high-street retail locations.
There are 200 Holland & Barrett 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 Holland & Barrett 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: 200 Holland & Barrett 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)100%
- Web Address100%
- Opening Hours100%
- Popularity Score100%
Data Preview: Sample geospatial records from the Holland & Barrett dataset in Netherlands
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| c990b17... | Holland & Barrett (Katwijk aan Zee) | 52.204181 | 4.395964 | 2225 BL | 3 Badstraat, Katwijk aan Zee, 2225 BL... |
| 8569d0c... | Holland & Barrett (Vlaardingen) | 51.931012 | 4.346642 | 3136 CN | 44 De Loper, Vlaardingen, 3136 CN, Vl... |
| 587a39a... | Holland & Barrett (Wageningen) | 51.965861 | 5.663117 | 6701 BV | 30 Hoogstraat, Wageningen, 6701 BV, W... |
| c176c69... | Holland & Barrett (Charlois) | 51.887175 | 4.490725 | 3083 BA | 748 Zuidplein, Rotterdam, 3083 BA, Ro... |
| b71cfec... | Holland & Barrett (Hoofddorp) | 52.303146 | 4.695815 | 2132 BC | 101 Polderplein, Hoofddorp, 2132 BC, ... |
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 Holland & Barrett locations in the Netherlands is found in Zuid-Holland (48 sites, equivalent to 1.24 Holland & Barrett supermarkets per 100,000 residents). This is followed by Noord-Holland (44 sites; 1.47 per 100,000) and Noord-Brabant (25 sites; 0.94 per 100,000). From a market-penetration perspective, Noord-Holland has the highest brand density at 1.47 locations per 100,000 people (population: 2,990,000), making it the most saturated region for Holland & Barrett in the Netherlands. By contrast, Drenthe records only 0.59 locations per 100,000 residents (population: 505,000), 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 Holland & Barrett 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 Holland & Barrett 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?
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
Frequently Asked Questions
Q: Can I combine this dataset with administrative boundaries?
A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Q: Can I integrate this dataset into a PostgreSQL/PostGIS database?
A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.
Q: Are the datasets suitable for machine learning workflows?
A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.
Q: Can this data be combined with demographics datasets?
A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.
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.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Can this dataset be used for logistics planning?
A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Holland & Barrett dataset to identify underserved regions in the Netherlands for potential market expansion.""Analyze which Holland & Barrett locations in the Netherlands are positioned in highly competitive retail zones versus standalone markets.""Using this Holland & Barrett data, find high-traffic retail corridors in the Netherlands with low supermarkets density for competitive positioning."
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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