Blink EV Charging Station Locations Dataset – Greece

Blink EV Charging Station Locations Dataset – Greece

Regular price €40,00 EUR
Regular price Sale price €40,00 EUR
Sale Sold out
View full details

An EV charging network operating in Greece as Blink Charging Hellas, a joint venture formed in 2019 between US-listed Blink Charging Co. (Nasdaq: BLNK) and Greek renewable-energy group Eunice Energy Group. It installs and operates AC and DC charging stations in Greek cities, aiming for chargers roughly every 50 km between major urban centers.

There are 352 Blink 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 Blink 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: 352 Blink 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.

Map showing the geographical distribution of Blink locations in Greece

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 Blink dataset in Greece

ID Location Title Latitude Longitude Postal Code Full Address
e907b0f... Blink Charging Station 38.279577 21.765566 000 00 Patras, 000 00, Greece
f26e7fa... Blink Charging Station 37.995877 23.815088 153 41 Agia Paraskevi, 153 41, Greece
93a7ace... Blink Charging Station 37.919827 23.707011 174 55 Alimos, 174 55, Greece
c91838e... Blink Charging Station 37.952798 23.712092 171 21 163 Ανδρέα Συγγρού, Αθήνα, 171 21, Gr...
70f299f... Blink Charging Station 38.128116 20.504654 281 00 Argostolion, 281 00, 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 Blink locations in Greece is found in Περιφέρεια Αττικής (153 sites, equivalent to 3.91 Blink ev charging stations per 100,000 residents). This is followed by Περιφέρεια Κεντρικής Μακεδονίας (51 sites; 2.83 per 100,000) and Περιφέρεια Κρήτης (38 sites; 8.44 per 100,000). From a market-penetration perspective, Περιφέρεια Νοτίου Αιγαίου has the highest brand density at 9.38 locations per 100,000 people (population: 320,000), making it the most saturated region for Blink in Greece. By contrast, Περιφέρεια Ανατολικής Μακεδονίας Και Θράκης records only 1.27 locations per 100,000 residents (population: 550,000), 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 →

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?

  • Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
  • 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.

Frequently Asked Questions

Q: Does the dataset contain duplicate locations?

A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.

Q: Can I analyze this dataset with AI tools?

A: Yes. The dataset is structured for compatibility with AI workflows including ChatGPT, Claude, Gemini, RAG pipelines, and Python-based analytics.

Q: Can I use this dataset in GIS software?

A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.

Q: Can I use this dataset for competitor benchmarking?

A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.

Q: What coordinate reference system is used?

A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).

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: How recent is this dataset?

A: This dataset was last updated on 13 July 2026 and is periodically refreshed through automated collection and validation workflows.

Q: Are postal codes included for all locations?

A: Postal codes are included wherever available and validated as part of the standardization workflow.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Blink dataset to identify underserved regions in Greece for potential market expansion."
  • "Using this Blink data, find high-traffic retail corridors in Greece with low ev charging stations density for competitive positioning."
  • "Calculate the total population coverage for Blink in Greece using a 10km catchment radius around each coordinate."

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.