Welcome!
The German Longitudinal Election Study (GLES) is the central survey program in Germany for the continuous collection and provision of high-quality data for national and international election research. The methodologically diverse surveys of the GLES make it possible to investigate the political attitudes and behaviour of voters and candidates. Since its foundation, the GLES has been carried out in close cooperation between the German Society for Electoral Studies (DGfW) and GESIS – Leibniz Institute for the Social Sciences.
GLES Design
 Data release Pre-Release of the GLES Cross-Section 2021, Pre-Election is available. The GLES Pre-Election Cross-Section is a population survey based on a probabilistic sample that has been conducted in the eight weeks before the German federal election since 2009. This year 5,220 interviews were conducted between Aug. 26, 2021 and Sept. 25, 2021. To the data | Announcement Current surveys Both during and between federal elections, GLES conducts surveys and prepares data. Here you can find out more about planned surveys and data publications. News  |
| New publication GLES book on the 2017 federal election The third volume of the DGfW book series "Wahlen in Deutschland" was published by Nomos. This volume offers comprehensive analyses on the 2017 Bundestag election based on GLES data. GLES Publications |  |
 | GLES Newsletter Stay informed! The GLES Newsletter keeps you informed about new pre-releases, updates, and general news about GLES. Subscribe |
| History of the Project The German Longitudinal Election Study (GLES) was initiated by the German Society for Electoral Studies (DGfW). Between 2009 and 2019, the study was funded by the German Research Foundation (DFG). Since January 2018, the GLES has been permanently anchored as an institutionalized election study at GESIS. History of the project GLES Coordination Group |  |
 | GLES Bibliography We collect publications and scientific contributions based on GLES data. If you have used GLES data in a scientific paper or conference presentation, please inform us. Report a publication GLES Bibliography |