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GERDA: The German Election Database.

Vincent Heddesheimer¹, Hanno Hilbig², Florian Sichart¹

¹Princeton University, Department of Politics, Princeton, NJ, 08544, USA.

Scientific Data

|April 14, 2025

Summary

This summary is machine-generated.

This new dataset, GERDA, provides detailed German election results at the local level for over 30 years. It enables better research into political representation and government responsiveness.

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Area of Science:

Political Science
Electoral Studies
German Politics

Background:

Elections are crucial for accountability and shaping policy.
Studying local-level partisan politics and representation is challenging due to data limitations.
Inconsistent and incomplete election data hinder research on government responsiveness.

Purpose of the Study:

Introduce GERDA, a comprehensive panel dataset of German election results.
Provide harmonized, small-geographic-scale data for local, state, and federal elections.
Facilitate new research on partisan politics and representation in Germany.

Main Methods:

Compiled a panel dataset of local, state, and federal election results in Germany.
Included turnout and vote shares for major parties from 1990-2021.
Resolved challenges with municipal boundary changes and joint voting districts for data consistency.

Main Results:

GERDA offers a consistent panel dataset of German municipalities using 2021 boundaries.
The dataset covers local, state, and federal election results over three decades.
Includes municipal and county boundary shapefiles for spatial analysis.

Conclusions:

GERDA enables novel research into partisan politics and policy responsiveness at fine-grained scales.
The dataset addresses critical data gaps for studying political representation in Germany.
Facilitates longitudinal and spatial analyses of electoral behavior and government accountability.