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Description
OMV EV Charging Station Locations Dataset – SlovakiaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Shell Recharge in Slovakia offers EV charging services through charging stations located at selected Shell fuel stations and partner locations, supporting both local and transit EV drivers. There are 49 OMV EV Charging Stations as of 4 June 2026 in Slovakia. This dataset is compiled and maintained by Geolocet and provides
Shell Recharge in Slovakia offers EV charging services through charging stations located at selected Shell fuel stations and partner locations, supporting both local and transit EV drivers.
There are 49 OMV 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 OMV 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: 49 OMV 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 OMV dataset in Slovakia
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 73f4086... | OMV Charging Station | 49.077640 | 19.650969 | 031 04 | Smrečianska, Liptovský Mikuláš, 031 0... |
| d23e167... | OMV eMotion Charging Station | 48.158646 | 17.143623 | 821 02 | 19A Bajkalská, 821 02, Bratislava II,... |
| 3b7013d... | OMV eMotion Charging Station | 48.380563 | 20.022797 | 979 01 | 3510 Trhové námestie, 979 01, Rimavsk... |
| 7a3e000... | OMV eMotion Charging Station | 48.187463 | 17.037247 | 841 02 | 2E Saratovská, Bratislava, 841 02, Br... |
| e50e269... | OMV eMotion Charging Station | 48.165222 | 17.083830 | 811 04 | 38 Brnianska, 811 04, Bratislava I, S... |
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 OMV locations in Slovakia is found in Bratislavský Kraj (18 sites, equivalent to 2.34 OMV ev charging stations per 100,000 residents). This is followed by Trnavský Kraj (8 sites; 1.38 per 100,000) and Trenčiansky Kraj (6 sites; 1.06 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 OMV in Slovakia. By contrast, Prešovský Kraj records only 0.26 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Slovakia: Map these OMV locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Slovakia: Overlay demographic indicators to deeply understand the population structures and household types surrounding these OMV locations.
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?
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- 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).
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
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 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 use this dataset in GIS software?
A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.
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.
Q: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this OMV dataset to identify underserved regions in Slovakia for potential market expansion.""Create a prioritized shortlist of expansion zones in Slovakia based on distance gaps between existing OMV locations.""Rank the top-performing urban areas in Slovakia for future OMV expansion based on existing location density and regional population."
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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