Uno-X EV Charging Station Locations Dataset – Norway

A chain of unmanned, low-cost fuel stations across Norway and Denmark, operating today as part of Uno-X Mobility (with roots in YX Energi/Norsk Hydro's fuel retail business). Uno-X has been expanding into EV fast-charging at a growing number of its Norwegian station sites, alongside its traditional fuel offering.

There are 99 Uno-X EV Charging Stations as of 16 July 2026 in Norway. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Uno-X locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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 Preview: Sample geospatial records from the Uno-X dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
36c2440...	Uno-X Charging Station	59.069354	10.047967	3274	1 Yttersøveien, 3274, Larvik, Norway
170f158...	Uno-X Charging Station	59.933233	10.860757	1081	98 Lower Kalbakkvei, 1081, Oslo, Norway
4e94cf5...	Uno-X Charging Station	62.574487	11.396895	7374	9 Falunveien, 7374, Røros, Norway
dcb5aed...	Uno-X Charging Station	67.296332	14.745712	8050	3 Grøttingen, 8050, Bodø, Norway
790493e...	Uno-X Charging Station	58.857134	5.714216	4316	88 Solaveien, 4316, Sandnes, Norway

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 Uno-X locations in Norway is found in Oslo Og Viken (30 sites, equivalent to 1.45 Uno-X ev charging stations per 100,000 residents). This is followed by Agder Og Sør-Østlandet (18 sites; 2.35 per 100,000) and Innlandet (16 sites; 4.21 per 100,000). From a market-penetration perspective, Innlandet has the highest brand density at 4.21 locations per 100,000 people (population: 380,000), making it the most saturated region for Uno-X in Norway. By contrast, Vestlandet records only 1.11 locations per 100,000 residents (population: 1,435,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Norway

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Norway: Map these Uno-X locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Norway: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Uno-X locations.
• Explore demographics data insights for Norway: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Explore a rich library of Norway-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 Norway

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?

• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• 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 Uno-X dataset to identify underserved regions in Norway for potential market expansion."
• "Identify locations where multiple Uno-X sites compete within overlapping catchment areas in Norway."
• "Identify strategic locations in Norway where new Uno-X sites could maximize geographic coverage while minimizing overlap."

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.