Circle K EV Charging Station Locations Dataset – Norway
Circle K EV Charging Station Locations Dataset – Norway
A convenience store and fuel station chain owned by Canadian company Alimentation Couche-Tard, operating across Norway and other Nordic countries. It combines its fuel and retail stations with EV fast-charging points, letting drivers shop or grab food while they charge.
There are 144 Circle K 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 Circle K locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.
Dataset Summary
- Dataset Coverage: 144 Circle K ev charging stations in Norway
- Contents: Coordinates, addresses, postal codes, and administrative divisions
- File Format: Fully geocoded CSV dataset (UTF-8)
- Free Sample: Instantly accessible dataset to verify structure and data quality
- Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
- Last Updated: 16 July 2026
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.
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
Require additional attributes such as charging points, charger types, or charging speed? Contact us to request a custom data enrichment.
Data Preview: Sample geospatial records from the Circle K dataset in Norway
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 3fd532b... | Circle K Ladestasjon | 60.841113 | 11.054155 | 2320 | 2 Krokstadvegen, 2320, Ringsaker, Norway |
| 8b9d856... | Circle K Charging Station | 59.386999 | 10.751847 | 1580 | 10 Østre Huggenesvei, 1580, Moss, Norway |
| 9316504... | Circle K Charging Station | 60.320380 | 5.351617 | 5221 | 91 Nesttunvegen, 5221, Bergen, Norway |
| 0b7342f... | Circle K Charging Station | 62.559670 | 7.684223 | 6300 | 69 Raumavegen, 6300, Rauma, Norway |
| a786039... | Circle K Charging Station | 59.894866 | 10.626919 | 1364 | 2 Rolfsbuktveien, 1364, 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.
Why download from Geolocet?
- Instant download - full dataset available immediately after purchase, no waiting, no manual fulfilment
- Free sample first - verify structure, fields, and coordinate precision before you commit
- Analysis-ready CSV - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
- Regularly updated - last updated 16 July 2026
✅ Data looks right? Add to cart ↑ - or download the free sample first.
Regional Distribution Breakdown
Looking at the geographic distribution, the highest concentration of Circle K locations in Norway is found in Oslo Og Viken (51 sites, equivalent to 2.46 Circle K ev charging stations per 100,000 residents). This is followed by Agder Og Sør-Østlandet (24 sites; 3.14 per 100,000) and Vestlandet (21 sites; 1.46 per 100,000). From a market-penetration perspective, Innlandet has the highest brand density at 5.0 locations per 100,000 people (population: 380,000), making it the most saturated region for Circle K in Norway. By contrast, Vestlandet records only 1.46 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
Brand bundle
Top 12 EV Charging Stations Brands in Norway - €380
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View Top Brands dataset →Full market coverage
All EV Charging Stations Locations in Norway - complete POI dataset
Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.
View full POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Norway: Map these Circle K 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 Circle K 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?
- 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.
- 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.
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- 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.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
Frequently Asked Questions
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known Circle K locations operating in Norway as of 16 July 2026.
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
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 request custom enrichment fields?
A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Q: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
Q: Can this dataset be used for logistics planning?
A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Circle K dataset to identify underserved regions in Norway for potential market expansion.""Identify Circle K sites with large footprints in Norway that are optimal candidates for EV charging infrastructure overlays.""Analyze the clustering behavior of Circle K locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
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.