MOYA EV Charging Station Locations Dataset – Poland

MOYA is a rapidly growing network of independent fuel stations in Poland operated by Anwim. Expanding beyond traditional fuels, MOYA is actively developing its MOYA Energia sub-brand to provide public electric vehicle charging points across its national footprint.

There are 71 MOYA EV Charging Stations as of 2 June 2026 in Poland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all MOYA 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 MOYA dataset in Poland

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
972cb85...	MOYA energia Charging Station	53.604623	19.584231	14-200	2 Produkcyjna, Iława, 14-200, Powiat ...
e56a109...	MOYA Charging Station	51.692162	19.571928	95-006	Stefanów, 95-006, Powiat łódzki wscho...
4d12cdc...	MOYA Energia Charging Station	54.350771	18.711598	80-718	96 Elbląska, Gdańsk, 80-718, Powiat G...
ec052ad...	MOYA energia Charging Station	50.032223	18.630425	44-245	272B Wodzisławska, Żory, 44-245, Powi...
a210d68...	MOYA energia Charging Station	51.878832	16.993735	63-800	9 Leszczyńska, Gostyń, 63-800, Powiat...

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 MOYA locations in Poland is found in Śląskie (12 sites, equivalent to 0.28 MOYA ev charging stations per 100,000 residents). This is followed by Wielkopolskie (10 sites; 0.29 per 100,000) and Mazowieckie (6 sites; 0.11 per 100,000). From a market-penetration perspective, Podlaskie has the highest brand density at 0.44 locations per 100,000 people (population: 1,140,000), making it the most saturated region for MOYA in Poland. By contrast, Podkarpackie records only 0.05 locations per 100,000 residents (population: 2,060,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Poland

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Poland: Map these MOYA locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Poland: Overlay demographic indicators to deeply understand the population structures and household types surrounding these MOYA locations.
• Explore demographics data insights for Poland: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Poland (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
• Explore a rich library of Poland-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for Poland

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 contact@geolocet.com.

Who uses this data?

• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• 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.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.

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 MOYA dataset to identify underserved regions in Poland for potential market expansion."
• "Identify potential regional logistics bottlenecks caused by uneven geographic distribution of MOYA locations in Poland."
• "Assess the accessibility of MOYA locations in Poland based on proximity to population centers and public infrastructure."

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.