OMV EV Charging Station Locations Dataset – Romania

OMV EV Charging Station Locations Dataset – RomaniaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI OMV is one of the fuel retail brands operated by OMV Petrom, the largest integrated energy company in Romania and Southeast Europe. As part of its strategy toward a lower carbon future, OMV Petrom is expanding EV charging infrastructure at its OMV branded filling stations, providing fast and ultra fast charging alongside

OMV is one of the fuel retail brands operated by OMV Petrom, the largest integrated energy company in Romania and Southeast Europe. As part of its strategy toward a lower-carbon future, OMV Petrom is expanding EV charging infrastructure at its OMV-branded filling stations, providing fast and ultra-fast charging alongside conventional fuels, with the ambition to become the leading EV charging provider in the region by 2030.

There are 53 OMV EV Charging Stations as of 2 June 2026 in Romania. 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 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.

Data Preview: Sample geospatial records from the OMV dataset in Romania

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of OMV locations in Romania is found in București (6 sites, equivalent to 0.35 OMV ev charging stations per 100,000 residents). This is followed by Constanța (4 sites; 0.61 per 100,000) and Bihor (3 sites; 0.54 per 100,000). From a market-penetration perspective, Mehedinți has the highest brand density at 0.89 locations per 100,000 people (population: 225,000), making it the most saturated region for OMV in Romania. By contrast, Iași records only 0.13 locations per 100,000 residents (population: 780,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Romania

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Romania: Map these OMV locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Romania: 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?

• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• 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.

Frequently Asked Questions

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 Romania for potential market expansion."
• "Measure average inter-store distance between OMV locations across different regions of Romania."
• "Using this OMV data, find high-traffic retail corridors in Romania with low ev charging stations density for competitive positioning."

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.