Vomar Supermarket Locations Dataset – Netherlands
Vomar Supermarket Locations Dataset – Netherlands
Vomar Voordeelmarkt is a regional Dutch discount supermarket chain primarily active in North Holland and surrounding provinces. It is known for its low-price guarantee and a robust selection of fresh bakery and butcher products.
There are 108 Vomar 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 Vomar 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: 108 Vomar 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 Address96%
- Opening Hours100%
- Popularity Score100%
Data Preview: Sample geospatial records from the Vomar dataset in Netherlands
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| adacda1... | Vomar (Volendam) | 52.510156 | 5.073429 | 1132 MB | 1 Wieringenlaan, Volendam, 1132 MB, E... |
| c15df9c... | Vomar (IJmuiden) | 52.457763 | 4.616332 | 1971 GH | 422 Lange Nieuwstraat, IJmuiden, 1971... |
| b34ba6f... | Vomar (Den Helder) | 52.960769 | 4.762333 | 1781 LC | 70 Koningdwarsstraat, Den Helder, 178... |
| a70a500... | Vomar (Amsterdam-Oost) | 52.353447 | 4.931650 | 1098 AE | 69 Middenweg, Amsterdam, 1098 AE, Ams... |
| 9c191b0... | Vomar (Schagen) | 52.796876 | 4.794631 | 1741 SB | 1 Platanenweg, Schagen, 1741 SB, Scha... |
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 Vomar locations in the Netherlands is found in Noord-Holland (88 sites, equivalent to 2.94 Vomar supermarkets per 100,000 residents). This is followed by Flevoland (9 sites; 1.98 per 100,000) and Zuid-Holland (6 sites; 0.16 per 100,000). From a market-penetration perspective, Noord-Holland has the highest brand density at 2.94 locations per 100,000 people (population: 2,990,000), making it the most saturated region for Vomar in the Netherlands. By contrast, Gelderland records only 0.05 locations per 100,000 residents (population: 2,160,000), 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 Vomar 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 Vomar 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 contact@geolocet.com.
Who uses this data?
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
Frequently Asked Questions
Q: Can I request the data in GeoJSON or Shapefile format?
A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
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: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
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.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Vomar dataset to identify underserved regions in the Netherlands for potential market expansion.""Analyze geographic gaps in the current Vomar network and identify underserved regions in the Netherlands with strong expansion potential.""Rank the top-performing urban areas in the Netherlands for future Vomar expansion based on existing location density and regional population."
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.