ArticleScientific data2025
GERDA: The German Election Database.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- LOCC-GER - A georeferenced local climate policy database for Germany.Scientific data · 2026Article
- Far-right music events, protests, and violence: a county-level dataset for Germany, 2013-2024.Scientific data · 2026Article
- Inferring mobility reductions from COVID-19 disease spread along the urban-rural gradient.Frontiers in public health · 2026Article
- The Malaysian Election Corpus (MECo): Federal and State-Level Election Results from 1955 to 2025.Scientific data · 2025Article
- General elections in Poland (1990-2024) in the unified territorial aggregation: GeoElections Poland 1.0.Scientific data · 2025Article
- German Post-War Election Database (GPWED).Scientific data · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.