Mer EV Charging Station Locations Dataset – Norway

A European EV charging company owned by Norwegian state-owned Statkraft, operating public fast-charging networks in Norway, Sweden and other markets. In July 2026, Statkraft agreed to merge Mer's Nordic fast-charging business into a new joint venture with Eviny, called Eviny Elektrifisering, pending regulatory approval.

There are 504 Mer 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 Mer 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 Mer dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
681b46e...	Mer Charging Station	59.041588	9.666721	3960	5 Bjønnveien, 3960, Bamble, Norway
157726a...	Mer Charging Station	63.298144	9.850236	7300	123 Hovsbakkveien, 7300, Orkland, Norway
3d56e97...	Mer Charging Station	58.892639	5.722446	4033	6 Petroleumsveien, 4033, Stavanger, N...
7884ddf...	Mer Charging Station	60.822720	9.550298	2930	30 Storebruvegen, 2930, Sør-Aurdal, N...
84e6eca...	Mer Charging Station	59.911453	10.638162	1366	15 Strandveien, 1366, Bærum, 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 Mer locations in Norway is found in Oslo Og Viken (153 sites, equivalent to 7.39 Mer ev charging stations per 100,000 residents). This is followed by Vestlandet (124 sites; 8.64 per 100,000) and Agder Og Sør-Østlandet (101 sites; 13.2 per 100,000). From a market-penetration perspective, Agder Og Sør-Østlandet has the highest brand density at 13.2 locations per 100,000 people (population: 765,000), making it the most saturated region for Mer in Norway. By contrast, Oslo Og Viken records only 7.39 locations per 100,000 residents (population: 2,070,000), 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 Mer 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 Mer 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?

• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).

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 Mer dataset to identify underserved regions in Norway for potential market expansion."
• "Assess the accessibility of Mer locations in Norway based on proximity to population centers and public infrastructure."
• "Identify the most central Mer locations in Norway to serve as hubs for a last-mile delivery network."

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.