Political Party Seat Distribution and Coalition Alignment in Indonesia’s Local Parliaments (2024 General Election)
Abstract
This dataset provides a comprehensive overview of political party seat distribution and coalition alignment in Indonesia’s local parliaments following the 2024 General Election. In the Indonesian context, local parliaments refer to Provincial and District/Municipal Regional Representative Councils (DPRD). The dataset is organized into three main components. First, it maps the dominance of political party seats in provincial and district/municipal parliaments based on the 2024 legislative election results. Second, it presents the configuration of parliamentary seats according to political party alignment with presidential coalitions formed during the 2024 Presidential Election. Third, it categorizes parliamentary seats based on political parties that publicly supported the proposal to reintroduce indirect local executive elections. Data were compiled and processed by the author through systematic collection and triangulation of publicly available sources, including official election results and reports from national media. The dataset is intended to capture patterns and configurations of political representation and coalition dynamics at the subnational level, rather than to serve as an official administrative record. This dataset was prepared by researchers at the Association for Elections and Democracy (Perludem), with the support of student interns, as part of ongoing research and documentation efforts on electoral reform and subnational democratic governance in Indonesia. This dataset may be used for research on electoral systems, party politics, coalition behavior, and debates on local democratic governance in Indonesia.
Fields of Study & Subjects
Indonesian Election Politics and Participation
Electoral Systems and Political Participation
Asian Studies and History
Publication details
- Journal / source
- OSF Preprints (OSF Preprints)
- Publication date
- 1 January 2026
- Document type
- Preprint