All Petrol Station Locations in Germany: Complete Geographic Dataset
All Petrol Station Locations in Germany: Complete Geographic Dataset
All Petrol Stations locations in Germany - complete national dataset
This dataset contains a complete, geocoded collection of Petrol Stations in Germany, including branded chains and independent locations. It provides a complete national coverage with 19,239 verified locations suitable for territory planning, market sizing and spatial analysis.
Last updated: 7 July 2026.
Dataset fields included in the CSV:
- GUID
- Title
- Group
- Latitude
- Longitude
- Street No
- Street
- Area
- City
- Admin_level_1
- Admin_level_2
- Gemainde
- Federal State
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Fuel Type
- Opening hours
Brand distribution
- Aral – 2,421 locations in Germany
- AS 24 – 167 locations in Germany
- AVIA – 897 locations in Germany
- Classic – 185 locations in Germany
- Eni (Agip) – 313 locations in Germany
- Esso – 1,270 locations in Germany
- HEM – 442 locations in Germany
- Hoyer – 352 locations in Germany
- JET – 749 locations in Germany
- OIL! – 271 locations in Germany
- Raiffeisen – 639 locations in Germany
- Shell – 1,719 locations in Germany
- Star (Orlen) – 519 locations in Germany
- tankpool24 – 640 locations in Germany
- Westfalen – 392 locations in Germany
Direct access after purchase of the complete locations dataset for Germany
Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.
Evaluate the dataset before purchase
A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.
Related geospatial datasets
- Administrative boundaries and full polygon dataset for Germany: Map these petrol stations locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Germany: Overlay demographic indicators to deeply understand the population structures and household types surrounding these petrol stations locations.
- Explore demographics data insights for Germany: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Germany (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.
- Explore a rich library of Germany-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 Germany
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.
Frequently Asked Questions
Q: Can this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
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: How recent is this dataset?
A: This dataset was last updated on 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 this multi-brand dataset to identify underserved regions in Germany for potential market expansion.""Identify isolated this multi-brand sites in Germany that may face operational inefficiencies due to low regional clustering.""Identify fast-growing suburban areas in Germany that currently have limited access to nearby petrol stations."