List of Jet Petrol Stations in Austria: 157 Locations (CSV)

JET is a prominent petrol station brand in Austria owned by the American company Phillips 66. It is highly regarded for its competitive pricing and efficient service at its numerous locations across the country.

As of 26 October 2026, Jet operates 157 petrol stations in Austria, according to Geolocet. The dataset lists these Austrian petrol stations as a CSV file with 20 fields. Fuel Type is present in 34.4% of records and Opening hours in 87.3%.

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.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Jet dataset in Austria

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
7f5a5a0...	Jet (Stainz)	46.888019	15.259584	8510	10 Radlpass Straße, Stainz, 8510, Deu...
0d9db44...	Jet (Hard)	47.477579	9.679376	6971	99 Rheinstraße, Hard, 6971, Bregenz, ...
a922b99...	Jet (Völkermarkt)	46.663044	14.621828	9100	3 Umfahrungsstraße, Völkermarkt, 9100...
ee5075e...	Jet (Ebenthal)	46.608167	14.354182	9065	10 Miegerer Straße, Ebenthal, 9065, K...
8c46809...	Jet (Rosental an der Kainach)	47.053060	15.125251	8582	2 Bahnhofstraße, Rosental an der Kain...

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Jet locations in Austria is found in Steiermark (29 sites, equivalent to 2.28 Jet petrol stations per 100,000 residents). This is followed by Oberösterreich (27 sites; 1.76 per 100,000) and Niederösterreich (24 sites; 1.39 per 100,000). From a market-penetration perspective, Salzburg has the highest brand density at 3.14 locations per 100,000 people (population: 570,000), making it the most saturated region for Jet in Austria. By contrast, Wien records only 0.49 locations per 100,000 residents (population: 2,025,000), indicating a potential white-space opportunity for network expansion or competitor analysis. This granular regional data helps analysts understand specific market density, localized brand presence, and population-adjusted coverage across Austria.

Region	Jet Locations	Population	Density per 100,000
Steiermark	29	1,270,000	2.28
Oberösterreich	27	1,535,000	1.76
Niederösterreich	24	1,725,000	1.39
Tirol	19	775,000	2.44
Salzburg	18	570,000	3.14
Kärnten	14	570,000	2.46
Wien	10	2,025,000	0.49
Vorarlberg	9	410,000	2.19
Burgenland	7	300,000	2.32

Geolocet is a store location data provider. See also our POI datasets.

Also available for Austria

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Austria: Map these Jet 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 Jet 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.
• 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.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

Frequently Asked Questions

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

• "Analyze this Jet dataset to identify underserved regions in Austria for potential market expansion."
• "Measure average inter-store distance between Jet locations across different regions of Austria."
• "Rank the top-performing urban areas in Austria for future Jet expansion based on existing location density and regional population."

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.