Norway EV Charging Stations Locations Dataset – Top 12 EV Charging Station Brands

Quick links: Overview Dataset Fields Brand Distribution Distribution by Region Download FAQ Analyze with AI Top 12 EV Charging Station Chains Across Norway: Premium Multi-Brand Location DatasetUnlock a complete, ready-to-use dataset featuring the leading EV Charging Station brands in Norway. This expertly compiled Top Brands dataset consolidates all major EV Charging Station chains in Norway, delivering a clean, standardised and analysis-ready collection of 3,155 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.Last updated: 16 July 2026. Dataset fields included in the CSV: GUID Title Latitude Longitude Street No Street Town Admin_level_1 Admin_level_2 Municipality Region Population Postal Code Address Brand distribution Charge365 – 97 locations in Norway Circle K – 144 locations in Norway E.ON Drive – 75 locations in Norway EVBox – 53 locations in Norway Eviny – 304 locations in Norway IONITY – 52 locations in Norway Kople – 776 locations in Norway Mer – 504 locations in Norway Oslo kommune – 314 locations in Norway Recharge – 427 locations in Norway Tesla – 310 locations in Norway Uno-X – 99 locations in Norway EV Charging Stations distribution by Region Oslo Og Viken: 1,252 ev charging stations Vestlandet: 618 ev charging stations Agder Og Sør-Østlandet: 458 ev charging stations Nord-Norge: 319 ev charging stations Innlandet: 277 ev charging stations Trøndelag: 231 ev charging stations Direct access after purchase of the complete locations dataset for NorwayDownload the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows. Evaluate the dataset before purchaseA free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset. Related geospatial datasets Administrative boundaries and full polygon dataset for Norway: Map these ev charging stations 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 ev charging stations 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. Frequently Asked Questions Q: Does the dataset include unique identifiers? A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations. Q: Is this dataset suitable for market analysis? A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows. Q: Can I use this dataset for proximity analysis? A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies. Q: Can I preview the dataset before purchasing? A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase. Q: Are phone numbers and websites included? A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs. Analyze this data with AIUse these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset: "Analyze this this multi-brand dataset to identify underserved regions in Norway for potential market expansion." "Assess the accessibility of this multi-brand locations in Norway based on proximity to population centers and public infrastructure." "Cross-reference these ev charging stations with urban transit data to score each location's accessibility for non-driving customers."