Shell Petrol Station Locations Dataset – Austria
Shell Petrol Station Locations Dataset – Austria
Shell is a global group of energy and petrochemical companies with a strong retail presence in Austria. It offers advanced fuel technology and a wide variety of services, including Shell V-Power and its Deli by Shell convenience shops.
There are 211 Shell Petrol Stations as of 9 July 2026 in Austria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Shell 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: 211 Shell petrol stations in Austria
- 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: 9 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
- Group
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Gemeinde
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)89%
- Web Address90%
- Opening Hours89%
- Popularity Score100%
Data Preview: Sample geospatial records from the Shell dataset in Austria
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 7bec7d1... | Shell (Kuchl) | 47.634643 | 13.138788 | 5431 | 66 Moos, Kuchl, 5431, Hallein, Austria |
| 130eb32... | Shell (Bregenz) | 47.493677 | 9.710928 | 6900 | 88 Rheinstraße, Bregenz, 6900, Bregen... |
| 7246676... | Shell (Eisenstadt) | 47.846279 | 16.540633 | 7000 | 82 Neusiedler Straße, Eisenstadt, 700... |
| 8ab6c8a... | Shell (Sankt Marienkirchen bei Schärding) | 48.391382 | 13.424715 | 4975 | 8 Andiesen, Sankt Marienkirchen bei S... |
| d109fe7... | Shell (Pfaffstätten) | 48.015517 | 16.273688 | 2511 | 97 Wiener Straße, Pfaffstätten, 2511,... |
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 9 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 Shell locations in Austria is found in Niederösterreich (36 sites, equivalent to 2.09 Shell petrol stations per 100,000 residents). This is followed by Tirol (36 sites; 4.65 per 100,000) and Steiermark (32 sites; 2.52 per 100,000). From a market-penetration perspective, Tirol has the highest brand density at 4.65 locations per 100,000 people (population: 775,000), making it the most saturated region for Shell in Austria. By contrast, Wien records only 1.04 locations per 100,000 residents (population: 2,025,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Also available for Austria
Brand bundle
Top 11 Petrol Stations Brands in Austria - €280
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 Austria - 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 Austria: Map these Shell locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Austria: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Shell locations.
- Explore demographics data insights for Austria: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Explore a rich library of Austria-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 Austria
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?
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
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 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: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
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: Can I analyze this dataset with AI tools?
A: Yes. The dataset is structured for compatibility with AI workflows including ChatGPT, Claude, Gemini, RAG pipelines, and Python-based analytics.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Shell dataset to identify underserved regions in Austria for potential market expansion.""Analyze the relationship between Shell site distribution and regional economic activity across Austria.""Using this Shell data, find high-traffic retail corridors in Austria with low petrol stations density for competitive positioning."
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.