OG Clean Fuels Petrol Station Locations Dataset – Netherlands
OG Clean Fuels Petrol Station Locations Dataset – Netherlands
OG Clean Fuels, formerly known as OrangeGas, is a Dutch leader in sustainable mobility offering 100% clean fuels like Bio-CNG, Hydrogen, and HVO100. It is dedicated to helping the Netherlands transition to a carbon-neutral transport sector through its specialized filling station network.
There are 89 OG Clean Fuels 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 OG Clean Fuels 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: 89 OG Clean Fuels 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.
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)92%
- Web Address92%
- Opening Hours87%
- Popularity Score100%
Data Preview: Sample geospatial records from the OG Clean Fuels dataset in Netherlands
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| d7d29aa... | OG Clean Fuels (Dokkum) | 53.320629 | 6.019552 | 9191 RB | 3 Beurtvaart, Dokkum, 9191 RB, Noarde... |
| 631affe... | OG Clean Fuels (Gouda) | 52.011185 | 4.693316 | 2802 AC | 1 Industriestraat, Gouda, 2802 AC, Go... |
| 2782d6d... | OG Clean Fuels ('s-Hertogenbosch) | 51.685938 | 5.281449 | 5223 GW | 1b Vlijmenseweg, 's-Hertogenbosch, 52... |
| db8c344... | OG Clean Fuels (Groningen) | 53.214376 | 6.492479 | 9745 EJ | 270 Hoendiep, Groningen, 9745 EJ, Gro... |
| 53d75d1... | OG Clean Fuels (Delfgauw) | 51.997556 | 4.397185 | 2645 EC | 1 Importweg, Delfgauw, 2645 EC, Pijna... |
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 OG Clean Fuels locations in the Netherlands is found in Zuid-Holland (14 sites, equivalent to 0.36 OG Clean Fuels petrol stations per 100,000 residents). This is followed by Overijssel (13 sites; 1.09 per 100,000) and Noord-Brabant (12 sites; 0.45 per 100,000). From a market-penetration perspective, Fryslân has the highest brand density at 1.52 locations per 100,000 people (population: 660,000), making it the most saturated region for OG Clean Fuels in the Netherlands. By contrast, Noord-Holland records only 0.23 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 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for the Netherlands: Map these OG Clean Fuels 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 OG Clean Fuels 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?
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- 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.
Frequently Asked Questions
Q: Can I use this dataset in GIS software?
A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.
Q: Is this dataset useful for accessibility studies?
A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.
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 7 July 2026 and is periodically refreshed through automated collection and validation workflows.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this OG Clean Fuels dataset to identify underserved regions in the Netherlands for potential market expansion.""Analyze which OG Clean Fuels locations in the Netherlands are positioned in highly competitive retail zones versus standalone markets.""Analyze proximity between OG Clean Fuels locations and major highways, ring roads, or arterial transport corridors in the Netherlands."
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.