Replication data for "The politics of urban regime contention: A qualitative comparative analysis of 18 Spanish cases"

This dataset contains case-level quantitative and calibrated comparative data for 18 Spanish municipalities governed or contested by social movement-led left coalitions associated with the Spanish New Municipalist cycle. The data were assembled to support a fuzzy-set Qualitative Comparative Analysis (fsQCA) of the conditions associated with the electoral consolidation of these coalitions and with incipient urban regime contention. The unit of analysis is the municipality/case. The dataset brings together indicators on electoral performance, governing position, council seat shares, intergovernmental ideological allies, city size, fiscal capacity, capital mobility, and civic capacity. Variables are derived from official election results, municipal spending records, Eurostat Cities and Greater Cities data, Spanish National Institute of Statistics data, Spanish Ministry of the Interior protest statistics, official municipal government composition records, and official Autonomous Community electoral authorities. The dataset includes raw measures and/or coded indicators used to construct fuzzy-set scores for comparative analysis.

This dataset compiles comparative information on Spanish municipal politics (gathered as part of Marie Sklodowska Curie Actions Project 101106701) to analyse the conditions under which municipalist political projects achieve electoral and institutional consolidation in the period after 2015. It integrates data from multiple official sources at the European, national, and regional levels, complemented by information collected directly from municipal and regional government websites.
The dataset combines structural indicators—such as capital mobility, fiscal capacity, and population size—with political, institutional and behavioural variables, including electoral turnout, protest activity, vote shares, and governing positions. These variables are operationalised using harmonised measures derived from administrative records, electoral results, and statistical datasets, ensuring comparability across cases and over time.
In addition to descriptive indicators, the dataset includes constructed variables that capture relational and contextual dynamics, such as intergovernmental ideological alignment and patterns of government formation. Where necessary, raw data have been standardised and aggregated across electoral cycles (2015, 2019, and 2023) to facilitate longitudinal comparison.
Overall, the dataset is designed to support configurational and comparative analysis, enabling the examination of how different combinations of socio-economic and political conditions shape trajectories of municipal political change.