The Sting Clothing stores Netherlands: Complete Location List with Coordinates

There are 59 The Sting Clothing stores as of 20 January 2026 in the Netherlands. This fully geocoded dataset provides a clean and comprehensive list of all The Sting locations, including full address details, administrative divisions, and precise latitude/longitude coordinates for GIS, mapping, and analytical use.

Data Integrity & Geospatial Precision: This dataset is built using a robust, proprietary methodology that combines continuous web collection with on-demand updates to ensure market-leading data freshness. Each location undergoes rigorous, multi-stage validation — including both sophisticated automated filtering and final verification by geospatial analysts — to guarantee maximum precision, reliability, and fitness for professional analytical use.

Dataset fields included in the CSV:

• GUID
• Title
• Latitude
• Longitude
• Street No
• Street
• Area
• City
• Admin_level_1
• Admin_level_2
• Settlement
• Region
• Postal Code
• Address
• Wheelchair
• Popularity Score
• Phone
• Website
• Opening hours

Number of The Sting locations per region

• 11 The Sting Clothing stores in Zuid-Holland
• 8 The Sting Clothing stores in Noord-Brabant
• 8 The Sting Clothing stores in Noord-Holland
• 7 The Sting Clothing stores in Gelderland
• 5 The Sting Clothing stores in Overijssel
• 4 The Sting Clothing stores in Fryslân
• 4 The Sting Clothing stores in Limburg
• 4 The Sting Clothing stores in Utrecht
• 3 The Sting Clothing stores in Drenthe
• 2 The Sting Clothing stores in Groningen
• 2 The Sting Clothing stores in Zeeland
• 1 The Sting Clothing stores in Flevoland

Data Preview (Top 5 Records)

Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all comprehensive fields and verify the data structure.

Acquire and Evaluate the The Sting Location Dataset

The full dataset and a free sample are both available for INSTANT download in a clean, analysis-ready CSV format. Use the free sample to evaluate the structure, fields, and geospatial precision before purchase. This comprehensive data is perfect for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

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• Demographics dataset for the Netherlands (population, households, age, income): Detailed socio-economic indicators at granular geographic levels. Perfect for market sizing, modelling, demand forecasting, and neighbourhood-level insights.
• Explore demographics data insights for the Netherlands: Methodology, use cases, definitions, and examples explaining how to use demographic and geospatial datasets for analysis and decision-making.
• Income indicators dataset for the Netherlands (small-area income analysis): Download a comprehensive 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, high-resolution wealth and income indicators, multi-level administrative boundaries, and a broad spectrum of Points of Interest including major brands and retail locations — all designed to power market analysis, spatial planning, and location intelligence. View 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.

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.