SKU: 65186592105

GreenWay EV Charging Station Locations Dataset – Slovakia

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Description

GreenWay EV Charging Station Locations Dataset – SlovakiaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Lidl Slovakia provides EV charging facilities at many of its supermarket locations, allowing customers to charge their vehicles while shopping and supporting the expansion of public charging infrastructure in Slovakia. There are 290 GreenWay EV Charging Stations as of 4 June 2026 in Slovakia. This dataset is compiled and

Lidl Slovakia provides EV charging facilities at many of its supermarket locations, allowing customers to charge their vehicles while shopping and supporting the expansion of public charging infrastructure in Slovakia.

There are 290 GreenWay EV Charging Stations as of 4 June 2026 in Slovakia. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all GreenWay 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: 290 GreenWay ev charging stations in Slovakia
  • 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: 4 June 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
  • Area
  • City
  • 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 GreenWay dataset in Slovakia

ID Location Title Latitude Longitude Postal Code Full Address
ea4aa7f... GreenWay Charging Station 48.563585 18.172871 955 03 36 Bernolákova, 955 03, Topoľčany, Sl...
27ac2a7... GreenWay Charging Station 48.170450 17.176443 821 04 1E Stará Ivanská cesta, 821 04, Brati...
21abc8e... GreenWay Charging Station 48.386278 20.002267 979 01 1a Cukrovarská, 979 01, Rimavská Sobo...
9b0b009... GreenWay Charging Station 48.190331 17.249618 900 28 5/A Vajnorská, 900 28, Senec, Slovakia
c743fda... GreenWay Charging Station 48.615595 17.835525 921 01 116 Žilinská cesta, Piešťany, 921 01,...

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 4 June 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 GreenWay locations in Slovakia is found in Bratislavský Kraj (54 sites, equivalent to 7.01 GreenWay ev charging stations per 100,000 residents). This is followed by Banskobystrický Kraj (41 sites; 6.78 per 100,000) and Žilinský Kraj (39 sites; 5.74 per 100,000). From a market-penetration perspective, Bratislavský Kraj has the highest brand density at 7.01 locations per 100,000 people (population: 770,000), making it the most saturated region for GreenWay in Slovakia. By contrast, Prešovský Kraj records only 3.38 locations per 100,000 residents (population: 770,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Slovakia

Brand bundle

Top 11 EV Charging Stations Brands in Slovakia - €240

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 Slovakia - 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 [email protected].

Who uses this data?

  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
  • Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
  • Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.

Frequently Asked Questions

Q: Is the dataset immediately downloadable after purchase?

A: Yes. The full dataset becomes available for instant digital download immediately after purchase.

Q: Can this dataset support expansion planning?

A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.

Q: Can this dataset support territory optimization?

A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.

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: 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: 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: 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 GreenWay dataset to identify underserved regions in Slovakia for potential market expansion."
  • "Compare the spatial distribution of GreenWay locations against major competitor clusters to identify overlap and whitespace opportunities in Slovakia."
  • "Identify high-income or high-density residential zones in Slovakia that currently lack nearby GreenWay locations."

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.

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SKU: 65186592105

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