Total Petrol Station Locations Dataset – Netherlands

Total Petrol Station Locations Dataset – Netherlands

Regular price €50,00 EUR
Regular price Sale price €50,00 EUR
Sale Sold out
View full details

TotalEnergies is a major player in the Dutch energy market, operating an extensive network of service stations along motorways and urban centers. It is currently leading the transition to sustainable mobility in the Netherlands by integrating high-power EV charging and alternative fuels into its traditional sites.

There are 392 Total Petrol Stations as of 7 July 2026 in the Netherlands. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Total 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: 392 Total petrol stations 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: 7 July 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.

Map showing the geographical distribution of Total locations in Netherlands

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
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)93%
  • Web Address93%
  • Opening Hours93%
  • Popularity Score100%

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

ID Location Title Latitude Longitude Postal Code Full Address
f3e9ad9... TotalEnergies (Papendrecht) 51.846017 4.681443 3352 AR 2 Burgemeester Keijzerweg, Papendrech...
afe73dc... TotalEnergies (Zoetermeer) 52.054697 4.471031 2715 HA 21 Meerzichtlaan, Zoetermeer, 2715 HA...
a713c0e... TotalEnergies (Tilburg) 51.574259 5.066046 5042 AA 7 Ringbaan West, Tilburg, 5042 AA, Ti...
62e275a... TotalEnergies Express (Herpen) 51.770128 5.635157 5373 KG 1B Berghemseweg, Herpen, 5373 KG, Oss...
3a569e2... Total Express (Breda Noord) 51.609397 4.783716 4826 PL 71 Brasschaatstraat, Breda, 4826 PL, ...

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 7 July 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 Total locations in the Netherlands is found in Gelderland (70 sites, equivalent to 3.24 Total petrol stations per 100,000 residents). This is followed by Noord-Brabant (66 sites; 2.48 per 100,000) and Noord-Holland (65 sites; 2.17 per 100,000). From a market-penetration perspective, Zeeland has the highest brand density at 5.13 locations per 100,000 people (population: 390,000), making it the most saturated region for Total in the Netherlands. By contrast, Groningen records only 0.83 locations per 100,000 residents (population: 600,000), 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 14 Petrol Stations Brands in the Netherlands - €360

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 Petrol Stations 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 contact@geolocet.com.

Who uses this data?

  • 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.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.

Frequently Asked Questions

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 accurate are the coordinates?

A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.

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: Does the dataset include opening hours?

A: Yes, opening hours are included where publicly available and validated during the data standardization process.

Q: Can I preview the dataset before purchasing?

A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.

Q: What coordinate reference system is used?

A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).

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

A: The dataset is designed to provide a complete and standardized list of known Total locations operating in the Netherlands as of 7 July 2026.

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.

Analyze this data with AI

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

  • "Analyze this Total dataset to identify underserved regions in the Netherlands for potential market expansion."
  • "Identify high-income or high-density residential zones in the Netherlands that currently lack nearby Total locations."
  • "Rank the top-performing urban areas in the Netherlands for future Total 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.