SKU: 65186592105

GreenWay EV Charging Station Locations Dataset – Slovakia

Sale price$36.00 Regular price$40.00
Save 10%

Pay in installments of $10.00 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Sep 22 - Sep 27

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

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.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 65186592105

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.3 ★★★★★
Based on 29 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
K
Kirk D. Borne
Whiting, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 24, 2025
A
Verified Purchase
Amazon Customer
Boise, US
★★★★★ 5
good book for beginners in Python and in simulation
Format: Kindle
Author made very short and simple intro into Python to jump into many different code examples to show how to solve them and to visualize results in Python. Reader will learn how to use Python libraries for modeling and simulation. Each example has an analytical solution and numerical with Python and visualization tools
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 2, 2026
A
Verified Purchase
Amazon Customer
Alexandria, US
★★★★★ 5
would highly recommend
Format: Paperback
well written even a newbie can follow
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 18, 2025
M
Verified Purchase
mauricio z
Battle Creek, US
★★★★★ 5
great book
Format: Paperback
perfect for beginners
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 22, 2024
S
Verified Purchase
Samuel
New York, US
★★★★★ 2
Don't buy, check HIS github or google collab for EVERYTHING that's in this book. NO SOLUTION
Format: Paperback
I never write reviews, but after this book I need to. DON'T BUY IT. DO NOT BUY THIS BOOK. Feels like a money grab. You are literally paying money for NOTHING buying this book. Long story short: GO TO HIS GITHUB AND GET IT ALL FOR FREE BECAUSE HE DOES NOT PROVIDE SOLUTIONS. GO ON GITHUB OR GOOGLE COLLAB AND CALL IT A DAY. In the intro he makes it seem like you don't need to know much programming or any tbh. He says if you have never programmed you should be able to read this book. HELL NO, I mean yeah you could probably figure it out, but I would not let someone that doesn't know any programming to start with this. I'd probably tell you to learn the basics of python for a week before starting at the very least. He also makes it seem like you don't need much knowledge of physics. Meh, maybe. Anyway the main reason not to buy: IT'S ALL AVAILABLE FOR FREE ON GITHUB THAT HE PUBLISHES FOR FREEEEEE. You can also use google collab, which he has up for FREEE. and if you are are a beginner I'd recommend you go off teh google collab, that way you don't have to deal with downloading anaconda and setting up an enviroment in jupyter which I think can be intimidating for a beginner. And this book doesn't really give much help in setting up everything in jupyter notebook. Also another point. He'll lead you through an example each lesson, but for the exercises he has you working on he doesn't provide a solution ANYWHERE. like why tf would you buy this book? How do you expect to learn with no feedback? You need to search online for ways to solve these problems, which I think is not a bad skill to have, but if you are new to a subject or trying to learn and you pay for a book why can't i at the very least get some solutions. even math textbook give you solutions, because the understanding is that you can make your own attempt and CHECK TO SEE IF YOU ARE RIGHT. DUHH !
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 8, 2026

recommand products