Tesla EV Charging Station Locations Dataset – Slovakia
SKU: 47809008479

Tesla EV Charging Station Locations Dataset – Slovakia

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Description

Tesla EV Charging Station Locations Dataset – SlovakiaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Virta is a Nordic EV charging platform and service provider that enables charging network management, roaming and payment services for charging station operators and drivers. There are 37 Tesla EV Charging Stations as of 4 June 2026 in Slovakia. This dataset is compiled and maintained by Geolocet and provides a complete,

Virta is a Nordic EV charging platform and service provider that enables charging network management, roaming and payment services for charging station operators and drivers.

There are 37 Tesla 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 Tesla 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: 37 Tesla 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 Tesla dataset in Slovakia

ID Location Title Latitude Longitude Postal Code Full Address
d2572fc... Tesla Destination Charger 48.706431 21.248068 040 11 8 Moldavská cesta, 040 11, Košice IV,...
ee6f376... Tesla Destination Charger 48.167485 17.178832 821 04 7 Ambrušova, Bratislava, 821 04, Brat...
c065ea1... Tesla Destination Charger 48.219344 16.977696 841 07 1/A Opletalova, Bratislava, 841 07, B...
e03862b... Tesla Destination Charger 49.156149 20.156743 062 01 Vysoké Tatry, 062 01, Poprad, Slovakia
b3743c6... Tesla Destination Charger 49.137226 20.339020 059 52 754 Tatranská, Veľká Lomnica, 059 52,...

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 Tesla locations in Slovakia is found in Prešovský Kraj (9 sites, equivalent to 1.17 Tesla ev charging stations per 100,000 residents). This is followed by Bratislavský Kraj (7 sites; 0.91 per 100,000) and Košický Kraj (7 sites; 0.93 per 100,000). From a market-penetration perspective, Prešovský Kraj has the highest brand density at 1.17 locations per 100,000 people (population: 770,000), making it the most saturated region for Tesla in Slovakia. By contrast, Trenčiansky Kraj records only 0.18 locations per 100,000 residents (population: 565,000), 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?

  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
  • Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.

Frequently Asked Questions

Q: Is the dataset standardized for analytics workflows?

A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.

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: 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: Does the dataset include accessibility-related attributes?

A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.

Q: What file format is included with the download?

A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.

Analyze this data with AI

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

  • "Analyze this Tesla dataset to identify underserved regions in Slovakia for potential market expansion."
  • "Identify potential regional logistics bottlenecks caused by uneven geographic distribution of Tesla locations in Slovakia."
  • "Map the concentration of Tesla locations relative to major retail centers and shopping districts in Slovakia."

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: 47809008479

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