Jumbo Supermarket Locations Dataset – Netherlands
SKU: 44467635976

Jumbo Supermarket Locations Dataset – Netherlands

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Description

Jumbo Supermarket Locations Dataset – NetherlandsQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Jumbo is the second largest supermarket chain in the Netherlands, famous for its "7 Certainties" customer service philosophy. It has grown rapidly through acquisitions and is a major competitor to market leader Albert Heijn. There are 724 Jumbo Supermarkets as of 26 May 2026 in the Netherlands. This dataset

Jumbo is the second-largest supermarket chain in the Netherlands, famous for its "7 Certainties" customer service philosophy. It has grown rapidly through acquisitions and is a major competitor to market leader Albert Heijn.

There are 724 Jumbo 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 Jumbo 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: 724 Jumbo 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)97%
  • Web Address98%
  • Opening Hours98%
  • Popularity Score100%

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

ID Location Title Latitude Longitude Postal Code Full Address
7f931ab... Jumbo (Amsterdam-Noord) 52.383219 4.919719 1021 KP 223 Gedempt Hamerkanaal, Amsterdam, 1...
89dbce4... Jumbo (Boswinkel - Stadsveld) 52.206273 6.878924 7543 AB 100 Burgemeester van Veenlaan, Ensche...
621f2a9... Jumbo (Kampen) 52.552924 5.900461 8265 EX 25 Penningkruid, Kampen, 8265 EX, Kam...
f69da46... Jumbo (Hengelo) 52.284554 6.827462 7558 CW 29 Christiaan Langefeldstraat, Hengel...
7366e53... Jumbo (Wijchen) 51.809783 5.724288 6602 BA 17 Herenstraat, Wijchen, 6602 BA, Wij...

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 Jumbo locations in the Netherlands is found in Noord-Brabant (163 sites, equivalent to 6.13 Jumbo supermarkets per 100,000 residents). This is followed by Zuid-Holland (104 sites; 2.69 per 100,000) and Gelderland (88 sites; 4.07 per 100,000). From a market-penetration perspective, Zeeland has the highest brand density at 6.67 locations per 100,000 people (population: 390,000), making it the most saturated region for Jumbo in the Netherlands. By contrast, Noord-Holland records only 2.14 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?

  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
  • Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.

Frequently Asked Questions

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: Are phone numbers and websites included?

A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.

Q: Does the dataset include latitude and longitude coordinates?

A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.

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 this dataset be imported into Power BI or Tableau?

A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.

Q: Can I use this dataset for competitor benchmarking?

A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.

Analyze this data with AI

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

  • "Analyze this Jumbo dataset to identify underserved regions in the Netherlands for potential market expansion."
  • "Analyze which Jumbo locations in the Netherlands are positioned in highly competitive retail zones versus standalone markets."
  • "Identify isolated Jumbo sites in the Netherlands that may face operational inefficiencies due to low regional clustering."

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: 44467635976

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