Swiss Household Panel

SWISS HOUSEHOLD PANEL

The Swiss Household Panel (SHP) is a unique longitudinal survey in the social sciences interviewing all household members of a random sample of private households in Switzerland. The principal aim of this annual panel study is to observe social change, in particular the dynamics of changing living conditions in the population of Switzerland (Tillmann et al. 2016).

News

The COVID-19 pandemic increased social inequality in Switzerland in some respects FORS and the HETSL have published a report on the effects of the COVID-19 pandemic and the semi-lockdown in spring 2020 on the living conditions of households in Switzerland. Read more	Save the date for the next SHP workshop On the first day, there will be an introduction to the SHP and the R software. On the second and third day the workshop will focus on data management with R, based on data from the SHP. The workshop will be led by Dr. Hannah Klaas and Dr. Erika Antal from FORS. Read more
Release of the Swiss Household Panel waves 1-21: new data available Waves 1-21 (1999-2019) comprise data on imputed income, wealth and CNEF data. This new data release also includes an intermediate wave with repeated measures and new variables related to COVID-19. Read more	New special issue on “20 years of the Swiss Household Panel” Robin Tillmann, Monica Budowski, Dean R. Lillard & Annette Scherpenzeel have just published this special issue in the Swiss Journal of Sociology. Read more

Open access publication with SHP-data

Anniversary publications for 20 years of SHP

This open access book describes based on the Swiss Household Panel data how the lives of the Swiss population have changed in terms of health, family circumstances, work, political participation, and migration over the last sixteen years. Read more.

In 2019, the SHP has celebrated its 20th anniversary. On this occasion, we have published a flyer presenting the panel in general terms as well as a brochure demonstrating its richness and the usefulness of longitudinal data.