Welcome to the German Internet Panel

The German Internet Panel (GIP) is a long-term longitudinal study at the University of Mannheim. The GIP researches individual attitudes and preferences that are relevant in political and economic decision-making processes. For this purpose, more than 3,500 people across Germany are regularly interviewed online on wide range of topics since 2012. State-of-the-art scientific methods are used to ensure an accurate representation of the general population in Germany.

The GIP originated as a central infrastructure project of the Collaborative Research Center (SFB) 884 “Political Economy of Reforms” and was funded by the German Research Foundation (DFG) from 2010 to 2021.

On these pages you will find information about us, our work, and how you can access and use our data.

Since 2022, it has been based as an infrastructure project at the Mannheim University Library and has been conducted by a team of researchers since February 2022.

Overview of the GIP

About Us

Here you can find out more about our work and the GIP team.

Infos for Data Users

Here you can find our questionnaires and our data.


On this page we present selected results of our surveys.


Are you a media representative? These pages contain information for you.

The Mannheim Corona Study

The Mannheim study on the impact of the Corona pandemic on society ran from March 20 to July 10, 2020, for a total of 16 weeks. During this time, we collected daily data on the current situation in Germany. In detailed analyses and long-term studies as a part of the GIP, we are investigating how the pandemic and measures undertaken to contain it have affected life in Germany.

Read more about the results of the study. The data are available for scientific research.

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Recent Publications

Rettig & Struminskaya, 2023

Memory Effects in Online Panel Surveys: Investigating Respondents’ Ability to Recall Responses from a Previous Panel Wave

Cornesse, Blom, Sohnius, González Ocanto, Rettig & Ungefucht 2023

Experimental Evidence on Panel Conditioning Effects when Increasing the Surveying Frequency in a Probability-Based Online Panel

Gummer, Kunz, Rettig, & Höhne 2023

How To Detect and Influence Looking Up Answers to Political Knowledge Questions in Web Surveys?

Rettig, Blom & Höhne 2022

Memory Effects: A Comparison Across Question Types