Elocity EV Charging Station Locations Dataset – Poland

Elocity is a Polish technology company providing a comprehensive platform for managing electric vehicle charging infrastructure. It supplies software and mobile applications that enable both operators and end-users to efficiently manage, locate, and pay for charging sessions.

There are 1,056 Elocity 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 Elocity 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 Elocity dataset in Poland

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
323ff3b...	Elocity Charging Station	53.809433	20.352192	11-041	Wilimowo, 11-041, Powiat olsztyński, ...
ddec309...	Elocity Charging Station	52.322087	17.018881	62-023	1 Składowa, Kórnik, 62-023, Powiat po...
79b7d42...	Elocity Charging Station	52.207663	21.171037	04-703	35 Mieczysława Pożaryskiego, Warszawa...
ca94391...	Elocity Charging Station	51.212641	22.699682	21-040	13 ks. Jana Hryniewicza, Świdnik, 21-...
ff67ed8...	Elocity Charging Station	54.084437	23.010752	16-402	82 Krzywe, Krzywe, 16-402, Powiat suw...

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 Elocity locations in Poland is found in Mazowieckie (186 sites, equivalent to 3.38 Elocity ev charging stations per 100,000 residents). This is followed by Wielkopolskie (134 sites; 3.83 per 100,000) and Śląskie (117 sites; 2.73 per 100,000). From a market-penetration perspective, Wielkopolskie has the highest brand density at 3.83 locations per 100,000 people (population: 3,495,000), making it the most saturated region for Elocity in Poland. By contrast, Lubelskie records only 1.4 locations per 100,000 residents (population: 1,995,000), 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 Elocity 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 Elocity 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?

• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.

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 Elocity dataset to identify underserved regions in Poland for potential market expansion."
• "Identify fast-growing suburban areas in Poland that currently have limited access to nearby ev charging stations."
• "Generate regional density heatmaps showing where Elocity has the strongest and weakest retail presence in Poland."

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.