eCarUp EV Charging Station Locations Dataset – Slovakia
SKU: 3223810630

eCarUp EV Charging Station Locations Dataset – Slovakia

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Description

eCarUp EV Charging Station Locations Dataset – SlovakiaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI ejoin is a Slovak provider of EV charging infrastructure and software, operating one of the country's largest charging networks with more than 420 charging points and a dedicated mobile charging application. There are 37 eCarUp EV Charging Stations as of 4 June 2026 in Slovakia. This dataset is compiled and maintained by

ejoin is a Slovak provider of EV charging infrastructure and software, operating one of the country's largest charging networks with more than 420 charging points and a dedicated mobile charging application.

There are 37 eCarUp 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 eCarUp 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 eCarUp 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 eCarUp dataset in Slovakia

ID Location Title Latitude Longitude Postal Code Full Address
4eb1df1... eCarUp Charging Station 48.724128 21.749073 072 02 Tušice, 072 02, Michalovce, Slovakia
3075fc2... eCarUp Charging Station 48.731696 21.583663 076 61 Dargov, 076 61, Trebišov, Slovakia
3b522a3... eCarUp Charging Station 48.801245 21.476753 044 45 Herľany, 044 45, Košice-okolie Distri...
67ebe52... eCarUp Charging Station 49.261062 20.842077 065 44 065 44, Stará Ľubovňa, Slovakia
7590be8... eCarUp Charging Station 48.754174 21.912286 071 01 071 01, Michalovce, 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 eCarUp locations in Slovakia is found in Košický Kraj (19 sites, equivalent to 2.52 eCarUp ev charging stations per 100,000 residents). This is followed by Prešovský Kraj (18 sites; 2.34 per 100,000). From a market-penetration perspective, Košický Kraj has the highest brand density at 2.52 locations per 100,000 people (population: 755,000), making it the most saturated region for eCarUp in Slovakia. By contrast, Prešovský Kraj records only 2.34 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?

  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • 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.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

Frequently Asked Questions

Q: Can this dataset be imported into Power BI or Tableau?

A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.

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: Can this data be combined with demographics datasets?

A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.

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: 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: Can I request custom enrichment fields?

A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.

Analyze this data with AI

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

  • "Analyze this eCarUp dataset to identify underserved regions in Slovakia for potential market expansion."
  • "Analyze which eCarUp locations in Slovakia are positioned in highly competitive retail zones versus standalone markets."
  • "Measure average inter-store distance between eCarUp locations across different regions of 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: 3223810630

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