Purchasing Power Data
The Purchasing Power dataset reveals the disposable income and consumer spending of several food and non-food product lines, divided into 5 main categories and 17 subcategories. The data is based on various (census) surveys and a selection of commercial sources.
Per census or Postal Code area we calculated the Purchasing Power per capita and per mill. Purchasing Power is the disposable income. The 5 purchasing power categories as explained below show what people spend on a certain product group.
Housing constists of:
1. Household Furnishing and Decoration
2. Household Products – Electrical
3. Household Products – Non Electrical
4. House & Garden Tools
5. Household Maintenance
Spotzi uses Consumer Expenditure Survey programs of census bureaus and commercial partners. These surveys provide data on expenditures, income, and demographic characteristics of consumers.
A model links the outcome of the consumer spending surveys to households with similar socioeconomic characteristics. The result is a Consumer spending dataset divided into 5 main categories and 17 subcategories. The level of detail varies per country and ranges from census to postal code level.
Per spending category Spotzi calculates the average spending of all people living in a certain country. This average is set to 100. If within a certain area people spend more on a certain product the index will be higher than 100. For instance if the index is 200 people in this postal code area spend twice as much on that certain product.
The map on the left shows the shows the Purhasing Power Index at Municipality and Postal Code level of several countries in Europe. The Purchasing Power data is available in every European Country.
Delivery of this data
The data can be obtained for specific areas of your choice, such as your company’s catchment areas or external sales regions. Spotzi adds the Consumer Styles to their Postal Code maps so they can be used in our Mapbuilder or third party GIS software.
Regional code (e.g., regional identifier, postcode, etc.)
Regional designator (e.g., municipality, postcode, street)
Inhabitants and households
Number of inhabitants and households within a given region, provided in absolute and per mill values.
Purchasing Power for in millions
This dataset provides the amount of disposable income available for a specific product line (in millions) among the population of a given region.
Purchasing Power for a specific product line in per mill values
This dataset indicates how the purchasing power for a specific product line (in per mill values) in a given region compares to the nationwide purchasing power for this product line. The sum of all per mill values equals 1000.
Purchasing Power for a specific product line per inhabitant
This dataset provides the average annual per person expenditure in a given region for a specific product line. Values are listed in euros.
Purchasing Power for a specific product line as an index per inhabitant
This dataset reveals the index value per inhabitant, a figure based on the national average of 100.0 per inhabitant. Thus, an index value of 110.0 means that the inhabitants of the region in question spend 10% more of their net income on the product line in question than the national average. By the same token, an index value of 90.0 means that the purchasing power for the region and product line in question is 10% less than the national average.
Maps for Marketing
Spotzi has postal code boundary maps of more than 30 countries in its data store. Easily segment your potential customers based on a postal code area and combine this with for instance our Consumer Styles.View maps
Add your own data
We can provide a more in-depth analysis of a company’s markets. Our location-based postal code data is often combined with customer profiles. This combination of mapped out data can provide businesses with interesting insights about their customers. That means that we can give companies the possibility to have a better understanding of their customers behavior as a result of location based data analysis. Potential customers can be targeted better.
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