SKU: 95727682812

VIRTA EV Charging Station Locations Dataset – Slovakia

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Description

VIRTA EV Charging Station Locations Dataset – SlovakiaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI ZSE Drive is the largest EV charging network in Slovakia, providing access to a dense network of charging stations, roaming services across Europe and mobile charging management tools. There are 40 VIRTA EV Charging Stations as of 4 June 2026 in Slovakia. This dataset is compiled and maintained by Geolocet and provides a

ZSE Drive is the largest EV charging network in Slovakia, providing access to a dense network of charging stations, roaming services across Europe and mobile charging management tools.

There are 40 VIRTA 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 VIRTA 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: 40 VIRTA 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 VIRTA dataset in Slovakia

ID Location Title Latitude Longitude Postal Code Full Address
48064d6... VIRTA Charging Station 48.155056 17.146539 821 01 Bratislava, 821 01, Bratislava II, Sl...
9351186... Virta Charging Station 48.900065 18.018071 911 05 Bratislavská, Trenčín, 911 05, Trenčí...
dcbeafc... VIRTA Charging Station 48.699871 21.277087 040 12 Teplárenská, 040 12, Košice IV, Slovakia
35215d6... VIRTA Charging Station 48.697929 21.263611 040 01 Južná trieda, 040 01, Košice IV, Slov...
b3be8ac... VIRTA Charging Station 47.769975 18.108046 945 01 Komárno, 945 01, Komárno, Slovakia

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 VIRTA locations in Slovakia is found in Bratislavský Kraj (18 sites, equivalent to 2.34 VIRTA ev charging stations per 100,000 residents). This is followed by Nitriansky Kraj (6 sites; 0.89 per 100,000) and Košický Kraj (5 sites; 0.66 per 100,000). From a market-penetration perspective, Bratislavský Kraj has the highest brand density at 2.34 locations per 100,000 people (population: 770,000), making it the most saturated region for VIRTA in Slovakia. By contrast, Trnavský Kraj records only 0.17 locations per 100,000 residents (population: 580,000), 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?

  • CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
  • 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.
  • Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

Frequently Asked Questions

Q: Does the dataset include latitude and longitude coordinates?

A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.

Q: Does the dataset include all locations in the country?

A: The dataset is designed to provide a complete and standardized list of known VIRTA locations operating in Slovakia as of 4 June 2026.

Q: How are addresses standardized?

A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.

Q: Can I combine this dataset with administrative boundaries?

A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.

Q: How recent is this dataset?

A: This dataset was last updated on 4 June 2026 and is periodically refreshed through automated collection and validation workflows.

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 preview the dataset before purchasing?

A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.

Analyze this data with AI

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

  • "Analyze this VIRTA dataset to identify underserved regions in Slovakia for potential market expansion."
  • "Identify fast-growing suburban areas in Slovakia that currently have limited access to nearby ev charging stations."
  • "Identify VIRTA sites with large footprints in Slovakia that are optimal candidates for EV charging infrastructure overlays."

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: 95727682812

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