Electrip EV Charging Station Locations Dataset – Greece
Electrip EV Charging Station Locations Dataset – Greece
An international EV fast-charging network operated by Electrip Global Ltd, a joint venture between Wren House Infrastructure (a subsidiary of the Kuwait Investment Authority) and Turkey's Zorlu Enerji. It installs DC chargers, largely at supermarkets and retail sites, across Greece and several other European countries.
There are 91 Electrip EV Charging Stations as of 13 July 2026 in Greece. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Electrip 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: 91 Electrip ev charging stations in Greece
- 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: 13 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
- City
- 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 Electrip dataset in Greece
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| cdfa642... | Electrip Charging Station | 37.900554 | 23.886124 | 194 00 | 7 Agion Anargiron, Koropi, 194 00, Gr... |
| f5b646a... | Electrip Charging Station | 41.109597 | 24.924595 | 671 50 | Ethniki Odos Xanthis Komotinis, Βιστω... |
| 1b46cd8... | Electrip Charging Station | 35.517413 | 24.036034 | 731 33 | Neozilandon Machiton, Chania, 731 33,... |
| 3cd223e... | Electrip Charging Station | 39.556870 | 21.802847 | 421 00 | Larisis, Trikala, 421 00, Greece |
| 540aa59... | Electrip Charging Station | 38.397152 | 23.798092 | 340 08 | Eretria, 340 08, Greece |
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 13 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 Electrip locations in Greece is found in Περιφέρεια Ανατολικής Μακεδονίας Και Θράκης (18 sites, equivalent to 3.27 Electrip ev charging stations per 100,000 residents). This is followed by Περιφέρεια Νοτίου Αιγαίου (17 sites; 5.31 per 100,000) and Περιφέρεια Δυτικής Ελλάδας (15 sites; 2.36 per 100,000). From a market-penetration perspective, Περιφέρεια Νοτίου Αιγαίου has the highest brand density at 5.31 locations per 100,000 people (population: 320,000), making it the most saturated region for Electrip in Greece. By contrast, Περιφέρεια Αττικής records only 0.15 locations per 100,000 residents (population: 3,915,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Also available for Greece
Brand bundle
Top 13 EV Charging Stations Brands in Greece - €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 Greece - 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 Greece: Map these Electrip locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Greece: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Electrip locations.
- Explore demographics data insights for Greece: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Greece (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
- Income distribution and socio-economic patterns in Greece - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
- Explore a rich library of Greece-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 Greece
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.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- 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.
- 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
Q: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: How accurate are the coordinates?
A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
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.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Electrip dataset to identify underserved regions in Greece for potential market expansion.""Identify strategic locations in Greece where new Electrip sites could maximize geographic coverage while minimizing overlap.""Compare the spatial distribution of Electrip locations against major competitor clusters to identify overlap and whitespace opportunities in Greece."
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.