All projects

In future, the poverty statistics are to be supplemented with an indicator based on households’ total financial means (income and assets). The FSO therefore integrated a pilot module on the topic of wealth in the survey on income and living conditions (SILC), which is also the basis of data for official poverty statistics.

These experimental statistics provide insights into hotel sector revenue.

In 2020, the European Commission signed a data sharing agreement with four platforms - Airbnb, Booking.com, Expedia Group and Tripadvisor. This allows Eurostat to publish new data on short-term accommodation.

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.

The aim of this project is to attribute the highest level of education to the entire permanent resident population.

The aim of this project is to develop the gross value added (GVA) of business groups using “Small Area Estimates” (SAE) methods. These estimates cover the overlap between the Enterprise groups statistics (STAGRE) and value-added statistical survey (WS) populations.

The FSO's mortality monitoring system is designed to detect whether the weekly number of deaths is higher than expected at that time of year. Mortality rates are an important indicator of health statistics and are of fundamental importance for public health.

This project aims to leverage small area estimation (SAE) techniques to develop estimates based on data collected through the Federal Statistical Office's (FSO) value-added statistical survey (WS).

Die Statistik der Unternehmensstruktur wird jährlich rund zwanzig Monate nach dem Referenzjahr veröffentlicht. Mit diesem Projekt sollen basierend auf einer Schätzung die wichtigsten Ergebnisse zur Unternehmensstruktur rascher bereitstehen.

Labour productivity by economic activity is published annually as part of the Growth and Productivity Statistics (WPS).

The FSO’s land use statistics are an invaluable tool for long-term land observation.

Automation of the coding of the economic activity of enterprises using Machine Learningmethods applied to data already available within the FSO (data from surveys, descriptionsin the commercial register, keywords, explanatory notes for classifications etc.) to supportcoding.

Analysing the evolution of income from employment in the first years after obtaining a qualification through the Swiss education system is key to assessing how well the education and training system caters to the labour market.

The clustering of typical prospective trajectories patterns concerning the receipt ofbenefits in the social security system as well as employment and the estimation of clusteraffiliation through the use of individual characteristics and retrospective process dataapplying a machine learning approach.

The aim of this project is to extend and speed up data validation in the FSO by means of machine learning algorithms and at the same time to improve data quality.

The SwissCovid app monitoring evaluates data from the proximity tracing systems of the Confederation and makes it available to the public.

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. This means that its latest data could be analysed and used very quickly.

Due to the Covid-19 pandemic, in spring 2020, far-reaching economic and social restrictions changed the living conditions of Switzerland’s resident population. SILC survey, which provides detailed information on poverty and the living conditions in Switzerland, was able to measure the impact on living conditions.

A pilot project under the umbrella of the FSO's data innovation strategy has tested the possibility of producing cantonal estimates of absolute job numbers using small area estimation (SAE) methods.

The structural population survey provides important information on the population, including information about work. It is possible to make reliable estimates of the economic activity rate of groups of 15 000 inhabitants.