Eni Petrol Station Locations Dataset – Austria
Eni Petrol Station Locations Dataset – Austria
Eni, formerly known as Agip, is a major Italian multinational energy company with a widespread network of service stations in Austria. It offers high-quality fuels alongside its signature Eni Café and convenience store services.
There are 330 Eni 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 Eni 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: 330 Eni 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)94%
- Web Address91%
- Opening Hours92%
- Popularity Score100%
Data Preview: Sample geospatial records from the Eni dataset in Austria
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 12e57c7... | Eni (Langenrohr) | 48.322122 | 16.025398 | 3442 | 15A Tullner Straße, Langenrohr, 3442,... |
| 222129b... | Eni (Ratten) | 47.476877 | 15.715447 | 8673 | 201 Kirchenviertel, Ratten, 8673, Har... |
| c855d9e... | ENI-GUTMANN Tankstelle (Steinfeld) | 46.751425 | 13.249659 | 9754 | 21 Lindenweg, Steinfeld, 9754, Spitta... |
| a954c7f... | Eni (Brunn am Gebirge) | 48.122929 | 16.293381 | 2345 | 44 Feldstraße, Brunn am Gebirge, 2345... |
| f09f3f0... | ENI-GUTMANN Tankstelle (Innsbruck) | 47.262557 | 11.373086 | 6020 | 87 Fürstenweg, Innsbruck, 6020, Innsb... |
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 Eni locations in Austria is found in Niederösterreich (73 sites, equivalent to 4.23 Eni petrol stations per 100,000 residents). This is followed by Tirol (66 sites; 8.52 per 100,000) and Steiermark (47 sites; 3.7 per 100,000). From a market-penetration perspective, Tirol has the highest brand density at 8.52 locations per 100,000 people (population: 775,000), making it the most saturated region for Eni in Austria. By contrast, Wien records only 1.14 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 Eni 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 Eni 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?
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
Frequently Asked Questions
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
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 this dataset be imported into Power BI or Tableau?
A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: How recent is this dataset?
A: This dataset was last updated on 9 July 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Can I combine this dataset with administrative boundaries?
A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
Q: How accurate are the coordinates?
A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Eni dataset to identify underserved regions in Austria for potential market expansion.""Analyze the relationship between Eni site distribution and regional economic activity across Austria.""Using this Eni 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.