Spotzi’s Consumer Spending data consists of several food and non-food product lines, divided into 5 main categories and 17 subcategories. The data is based on census surveys- and a selection of commercial sources.
Our datasets are compatible with big data tools like Mapinfo, Arcgis, QGIS, Tableau, Microsoft Power BI, Google Maps, Excel Maps, Carto, Mapbox etc. It is possible to buy and download this data directly from the datashop, but it is also possible to buy this data as a package with some powerful mapping and data tools. Read our pricing page for more information.
Housing constists of five datasets:
- Household furnishing and decorations
- Household Products – electrical
- Household Products – non-electrical
- House and garden tools
- Household maintenance
- Bosnia and Herzegovina
- Russian Federation
- The Netherlands
- United Kingdom
- United States
Spotzi uses the Consumer Expenditure Survey programs of census bureaus and commercial partners. These surveys provide data on expenditures, income, and the demographic characteristics of consumers.
A model links the outcome of 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 the census level to the 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 people within a certain area spend more on a certain product the index will be higher than 100. For instance, if the index is 200, the people in this postal code area spend twice as much on that product.
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 dataset to our postal code maps so they can be used in our Mapbuilder or third-party GIS software.
Regional code (e.g., regional identifier, postal code, etc.)
Regional designator (e.g., municipality, postal code, street)
Inhabitants and households
The number of inhabitants and households within a given region, provided in absolute and per mill values.
Purchasing power for a specific product line 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 (per mill) 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 expenditure per person 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.