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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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Location Planning Parcel And Delivery Lockers

Locate the places with an insufficient coverage based on data about population. Evaluate planned locations and find out straightaway what amount of people will you cover

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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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Competitive Intelligence Market Research

Analyze the presence of your competition and include the findings in the business strategy. Location data will help you to try targeting areas with more potential

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Site Evaluation

Evaluate the retail potential of any address and measure its attractiveness within its natural catchment area. Choosing the right place for you business has never been easier.

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For Sale:
For sale

Coverage

Hungary


Level of detail:
Polygon

Categories:

Geotypes/Consumer Segments


Update frequency:

Monthly


Last update:

03/2023


Provided By:
...

Availability:

Upon request

id postcode name category spend_mio_eur spend_per_mio_country spend_per_capita spend_idx
1 10115 Berlin Food and non-alcoholic beverages 68.04 0.346 2540 107.7
2 10119 Berlin Food and non-alcoholic beverages 48.22 0.245 2477 105
3 10435 Berlin Food and non-alcoholic beverages 44.91 0.229 2549 108
4 10437 Berlin Food and non-alcoholic beverages 77.4 0.394 2370 100.5
5 10439 Berlin Food and non-alcoholic beverages 67.22 0.342 2309 97.9
6 10551 Berlin Food and non-alcoholic beverages 41.06 0.209 2166 91.8
7 10553 Berlin Food and non-alcoholic beverages 26.45 0.135 2240 94.9
8 10557 Berlin Food and non-alcoholic beverages 42.93 0.218 2304 97.6
9 10559 Berlin Food and non-alcoholic beverages 37.49 0.191 2235 94.7
10 10589 Berlin Food and non-alcoholic beverages 34.64 0.176 2270 96.2
The map visualization is not available. You are seeing a sample from a selected European country.

Data Dictionary

Column Type Label Description
id text
postcode text
name text
category text
spend_mio_eur text
spend_per_mio_country text
spend_per_capita text
spend_idx text
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