FSO's Experimental statistics

Experimental statistics are produced using new methods and/or new data sources and are therefore in line with the FSO’s data innovation strategy and the Confederation's multi-annual programme for federal statistics. This site contains descriptions of the (pilot) projects currently being developed.

By publishing them we can involve users and partners at an early stage for both the development and consolidation of projects.

The aim of these statistical projects is to better meet users’ needs in terms of efficiency, quality and speed. However, these statistics still have the potential to evolve, especially regarding their methodology, which is still being assessed. For this reason they are clearly marked as experimental and carry a logo that can easily be recognised.


This image leads to more information about: Household typology (STATPOP)

Household typology (STATPOP)

The aim of this project is to obtain a “household type” variable for all private households in the permanent resident population at the main place of residence.

This image leads to more information about:  Effects of the pandemic on the household budget (HBS)

Current quarterly indicators on private household consumption

The Household Budget Survey (HBS) is particularly suited to an in-depth and temporal analysis of the effects of the pandemic, as it is continuous and covers every day of the year.

Symbol image - SwissCovid App Monitoring

Mortality monitoring (MOMO)

Through its mortality monitoring, the FSO observes excess mortality, i.e. the weekly number of deaths above the usual value for the season.



Innovative methods

Discover the applications of innovative methods at the FSO and their initial results.

Innovation in data science

Our pilot projects within FSO’s data innovation strategy.

Experimental statistics in Europe

Various other countries in Europe are developing experimental statistics based on new methods and new data sources. All the countries of the European Statistical System (ESS), which currently propose experimental statistics can be found here.

ESS Experimental statistics