Lagerhaus Genol Petrol Station Locations Dataset – Austria
Lagerhaus Genol Petrol Station Locations Dataset – Austria
Genol is the energy brand of the Austrian Lagerhaus cooperatives, providing a comprehensive network of petrol and charging stations. It focuses on regional supply and serves both individual consumers and agricultural businesses.
There are 519 Lagerhaus Genol 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 Lagerhaus Genol 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: 519 Lagerhaus Genol 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)87%
- Web Address74%
- Opening Hours75%
- Popularity Score100%
Data Preview: Sample geospatial records from the Lagerhaus Genol dataset in Austria
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 830aafe... | Lagerhaus Genol (Andlersdorf) | 48.178682 | 16.669560 | 2301 | Hintausweg, Andlersdorf, 2301, Gänser... |
| 148a428... | Lagerhaus Genol (Frauenkirchen) | 47.837235 | 16.919398 | 7132 | 1 Raiffeisenplatz, Frauenkirchen, 713... |
| f63deeb... | Lagerhaus Genol (Gols) | 47.904290 | 16.919487 | 7122 | 8 Am Berg, Gols, 7122, Neusiedl am Se... |
| 9cbce6d... | Lagerhaus Genol (Podersdorf am See) | 47.855866 | 16.837234 | 7141 | 90 Parzelle, Podersdorf am See, 7141,... |
| 9b2c404... | Lagerhaus Genol (Wartberg ob der Aist) | 48.354936 | 14.518585 | 4224 | 7 Hacklberg, Wartberg ob der Aist, 42... |
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 Lagerhaus Genol locations in Austria is found in Niederösterreich (204 sites, equivalent to 11.83 Lagerhaus Genol petrol stations per 100,000 residents). This is followed by Oberösterreich (94 sites; 6.12 per 100,000) and Steiermark (81 sites; 6.38 per 100,000). From a market-penetration perspective, Burgenland has the highest brand density at 12.33 locations per 100,000 people (population: 300,000), making it the most saturated region for Lagerhaus Genol in Austria. By contrast, Wien records only 0.05 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 Lagerhaus Genol 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 Lagerhaus Genol 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?
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
Frequently Asked Questions
Q: Does the dataset include latitude and longitude coordinates?
A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.
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: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
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: 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.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Lagerhaus Genol dataset to identify underserved regions in Austria for potential market expansion.""Identify fast-growing suburban areas in Austria that currently have limited access to nearby petrol stations.""Analyze the clustering behavior of Lagerhaus Genol locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
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.