Monta ApS EV Charging Station Locations Dataset – Denmark

A Copenhagen-based EV charging technology company that provides white-label software, mobile apps and APIs used by charge point operators, utilities and site hosts to run their own branded charging networks. Several major Danish energy companies, including Norlys and EWII, run their public charging apps on Monta's platform.

There are 496 Monta ApS EV Charging Stations as of 15 July 2026 in Denmark. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Monta ApS 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 Monta ApS dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
1d15253...	Monta Charging Station	55.771027	11.391176	4534	1 Dragsholm Alle, Hørve, 4534, Denmark
9bb0e64...	Monta Charging Station	55.046030	9.420419	6200	22 H P Hanssens Gade, Aabenraa, 6200,...
d29987c...	Monta Charging Station	56.119096	8.120222	6950	27 Søndervig Landevej, Søndervig, 695...
d2a556c...	Monta Charging Station	56.310564	10.093779	8370	8A Byvej, Selling, 8370, Denmark
0ce0f7b...	Monta Charging Station	55.394884	10.354465	5200	4 Christmas Møllers Vej, Odense, 5200...

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 Monta ApS locations in Denmark is found in Region Midtjylland (120 sites, equivalent to 8.7 Monta ApS ev charging stations per 100,000 residents). This is followed by Region Syddanmark (116 sites; 9.35 per 100,000) and Region Sjælland (103 sites; 12.05 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 13.22 locations per 100,000 people (population: 590,000), making it the most saturated region for Monta ApS in Denmark. By contrast, Region Hovedstaden records only 4.07 locations per 100,000 residents (population: 1,940,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Denmark

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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?

• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• 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.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.

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 Monta ApS dataset to identify underserved regions in Denmark for potential market expansion."
• "Using this Monta ApS data, find high-traffic retail corridors in Denmark with low ev charging stations density for competitive positioning."
• "Assess the accessibility of Monta ApS locations in Denmark 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.