UC Davis

Elections are the key mechanism through which voters hold elected officials accountable. The partisan composition of local, state, and federal governments, in turn, shapes policy choices and public goods provision. Yet studying representation, government responsiveness, and partisan politics across multiple levels of government-especially at the local level-has been difficult due to inconsistently reported, incomplete, or insufficiently harmonized election data at small geographic scales. This paper introduces GERDA ( https://www.german-elections.com/ ), a panel dataset of local, state, and federal election results in Germany at the municipality level spanning the past three decades. GERDA includes turnout and vote shares for all major parties and resolves challenges arising from municipal boundary changes and joint mail-in voting districts, yielding a consistent panel of municipalities in their 2021 boundaries. We also provide municipal and county boundary shapefiles to facilitate spatial analyses. Our dataset enables new research on partisan politics, policy responsiveness, and political representation at fine-grained geographic scales and over time.