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How can I use the data
Analyze the information you gathered about your customers in a location context. Location Intelligence will provide you with details and activities to build more profound and practical customer relationships and improve decision-making within your organization.
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Catchment Area Analysis

Finding out the real catchment areas of your branches and comparing them with driving or walking catchment areas can help you optimizing the locations of your branches

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Customer Acquisition

Location data visualized in our platform will help you to analyze the market penetration and you will be able to locate places with previously undiscovered potential

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Market Gaps

Find the locations with high and low market penetration. Place your new branch smart with the help of data about population, other points of interest or human mobility

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Market Potential And Share

Analyze your current market share on a spatial level to focus your expansion efforts on the areas with a potential customer base and a beneficial number of competitors

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Market Saturation

Detect areas with the most competitive pressure and identify the line between too many competitors and a beneficial number of competitors to avoid useless costs.

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For Sale:

For sale


Coverage

Germany


Level of detail:

Polygon


Categories:

Administrative Units


Update frequency:

Monthly


Last update:

11/2023


Provided By:
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Availability:

Available

Administrative division of municipalities (VG250) in Germany

This dataset contains the municipalities including the number of inhabitants and the cadastre area in Germany. The data was collected from the official website of German open data gdz.bkg.bund.de. There are approx. 11 395 municipalities in Germany and it is one of the lower granularities available. You can connect this administrative unit to any other unit that CleverMaps offers in Germany or use it on its own.

Data and Resources

Additional Info

Field Value
Availability Available
Category Administrative Units
Coverage Germany
For sale For sale
How can I use the data
Visualization Polygon