Recharge EV Charging Station Locations Dataset – Norway

One of Norway's largest EV fast-charging networks, formerly known as Fortum Charge & Drive before rebranding to Recharge. It operates DC fast and rapid chargers along highways and in towns across Norway, Sweden and Finland, and partners with several car manufacturers' roaming programmes.

There are 427 Recharge 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 Recharge 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 Recharge dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
a938c7d...	Recharge Charging Station	59.934159	10.872316	1081	303 Strømsveien, 1081, Oslo, Norway
603a8cb...	Recharge Charging Station	58.887089	5.723066	4313	2 Grenseveien, 4313, Sandnes, Norway
aa60ae0...	Recharge Charging Station	63.733955	11.282396	7606	7A Moafjæra, 7606, Levanger, Norway
6567a38...	Recharge Charging Station	62.333512	5.640710	6091	10B Lisjebøvegen, 6091, Herøy, Norway
3b7e500...	Recharge Charging Station	66.340874	14.142896	8614	9 Gammelveien, 8614, Rana, 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 Recharge locations in Norway is found in Oslo Og Viken (153 sites, equivalent to 7.39 Recharge ev charging stations per 100,000 residents). This is followed by Agder Og Sør-Østlandet (83 sites; 10.85 per 100,000) and Vestlandet (82 sites; 5.71 per 100,000). From a market-penetration perspective, Innlandet has the highest brand density at 11.84 locations per 100,000 people (population: 380,000), making it the most saturated region for Recharge in Norway. By contrast, Nord-Norge records only 4.69 locations per 100,000 residents (population: 490,000), 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 Recharge 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 Recharge 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?

• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.

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 Recharge dataset to identify underserved regions in Norway for potential market expansion."
• "Create a prioritized shortlist of expansion zones in Norway based on distance gaps between existing Recharge locations."
• "Identify municipalities in Norway with strong demographic potential but no nearby Recharge presence."

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.