Innovative methods at the FSO

Applications of innovative methods at the FSO and their initial results.

In order to provide reliable and trustworthy statistical information for democratic decision-making, the FSO has been continuously improving and developing its production since its creation in 1860. Innovative methods can generate additional value from existing data and by using new data sources. In 2020, the FSO has decided to present innovative methods (also outside the scope of innovation in data science) to a wider audience at an early stage in order to involve users in the maturation process of applying these methods.

Below you will find the applications of innovative methods that have been published to date.

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. 

Symbol image - Small area estimation (SAE)

Small area estimation (communes) of economic activity rate in the structural survey

The structural population survey provides important information on the population, including information about work. By means of a sample survey of at least 200 000 people each year in Switzerland, it is possible to make reliable estimates of the economic activity rate of groups of 15 000 inhabitants.

Effects of the pandemic on the household budget

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.

Image symbol - Construction of an income from employment (LABB)

Construction of an income from employment (LABB)

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 individual accounts of the Central Compensation Office (CCO) and the FSO's Structural Survey (SS) are very interesting sources in this field.

Symbol image – Covid-19 and living conditions in Switzerland in 2020 (SILC)

Covid-19 and living conditions in Switzerland in 2020 (SILC)

Due to the Covid-19 pandemic, in spring 2020, far-reaching economic and social restrictions changed the living conditions of Switzerland’s resident population. The Income and living conditions (SILC) survey, which provides detailed information on poverty and the living conditions in Switzerland, was able to measure the impact on living conditions that is presented here for the first time.

Symbol image - SwissCovid App Monitoring

SwissCovid App Monitoring

The SwissCovid App Monitoring analyses data from the federal proximity tracing systems and makes the results publicly available. The monitoring statistics are still being developed. They are evolving constantly and can therefore change at short notice.

Symbol image - Poverty measurement integrating wealth (AssetPov)

Poverty measurement integrating wealth (AssetPov)

In future, the poverty statistics are to be supplemented with an indicator based on households’ total financial means (income and assets). In Switzerland no wealth data are currently available that meet the substantive and quality requirements for such analyses. 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.

Mortality monitoring (MOMO)

Mortality monitoring (MOMO)

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. For this reason, the monitoring of mortality during a period of influenza or other epidemics is of great importance. During a major crisis, monitoring can be a robust tool to observe its course and its impact on public health.