Nettorama Supermarket Locations Dataset – Netherlands
SKU: 49416421012

Nettorama Supermarket Locations Dataset – Netherlands

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Description

Nettorama Supermarket Locations Dataset – NetherlandsQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Nettorama is a Dutch discount supermarket chain that positions itself as the "cheapest brand name supermarket" in the country. It focuses on a streamlined assortment of heavily discounted A brands and essential groceries. There are 82 Nettorama Supermarkets as of 26 May 2026 in the Netherlands. This dataset

Nettorama is a Dutch discount supermarket chain that positions itself as the "cheapest brand-name supermarket" in the country. It focuses on a streamlined assortment of heavily discounted A-brands and essential groceries.

There are 82 Nettorama 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 Nettorama 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: 82 Nettorama 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 Address99%
  • Opening Hours100%
  • Popularity Score100%

Data Preview: Sample geospatial records from the Nettorama dataset in Netherlands

ID Location Title Latitude Longitude Postal Code Full Address
58b5c72... Nettorama (Didam) 51.934843 6.131188 6942 EA 15 Spoorstraat, Didam, 6942 EA, Montf...
34a5291... Boni Supermarkets (Huizen) 52.302513 5.254040 1273 EG 22 Holleblok, Huizen, 1273 EG, Huizen...
b8b5ae2... Nettorama (Ravenstein) 51.793422 5.645336 5371 NJ 2 Schaafdries, Ravenstein, 5371 NJ, O...
a9d4718... Boni Supermarkets ('t Harde) 52.414941 5.883419 8084 AZ 7 Centrumplein, 't Harde, 8084 AZ, El...
e366cce... Nettorama (Genemuiden) 52.625180 6.045161 8281 BZ 26 Klaas Fuitestraat, Genemuiden, 828...

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 Nettorama locations in the Netherlands is found in Noord-Brabant (21 sites, equivalent to 0.79 Nettorama supermarkets per 100,000 residents). This is followed by Gelderland (19 sites; 0.88 per 100,000) and Overijssel (12 sites; 1.0 per 100,000). From a market-penetration perspective, Drenthe has the highest brand density at 1.19 locations per 100,000 people (population: 505,000), making it the most saturated region for Nettorama in the Netherlands. By contrast, Noord-Holland records only 0.1 locations per 100,000 residents (population: 2,990,000), 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 →

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?

  • CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
  • Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.

Frequently Asked Questions

Q: Does the dataset include all locations in the country?

A: The dataset is designed to provide a complete and standardized list of known Nettorama locations operating in the Netherlands as of 26 May 2026.

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.

Q: Is this dataset suitable for market analysis?

A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.

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: 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.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Nettorama dataset to identify underserved regions in the Netherlands for potential market expansion."
  • "Analyze the relationship between Nettorama site distribution and regional economic activity across the Netherlands."
  • "Calculate the total population coverage for Nettorama in the Netherlands using a 10km catchment radius around each coordinate."

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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SKU: 49416421012

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