Data and code underlying the publication: "Why inequality does not always lead to segregation: the role of social housing in the Netherlands"

This deposit contains annual indicators of economic inequality, residential segregation, and social housing across Dutch municipalities for the 2011–2024 period. The information is derived from restricted geo-coded register microdata provided by Statistics Netherlands (CBS) and used in the analyses presented in the referenced paper, which describes the methodology employed to construct the indicators. It includes municipal income inequality measured using the Gini coefficient of disposable household income, adjusted for household size and composition; income segregation measured using the spatial Rank-Order Information Theory Index (SROITI), calculated from 100 m × 100 m grid cells and distance-weighted residential environments within a 500 m radius; the proportion of households living in social housing; the spatial clustering of inhabited social housing, measured using Global Moran’s I; and the degree of social-housing residualization, approximated by the ratio between the average income of households in social housing and that of households in market housing. It also contains the demographic and socio-economic municipal indicators used as control variables in the analysis, including population composition, population size, average income, and dwellings per capita. Together, these indicators provide a longitudinal view of how economic inequality and different configurations of social housing are associated with residential segregation in the Netherlands. The deposit also contains the R scripts used to process the restricted household- and person-level data, calculate the social-housing and segregation indicators, assemble the municipality-year panel, estimate the fixed-effects models, conduct robustness checks, calculate predicted values, and produce the tables and figures presented in the referenced paper. Finally, the accompanying README describes the contents and purpose of each file, the intended order of execution, the principal variables and methods, the conditions for accessing the original CBS microdata, and the recommended citations for the dataset and related publication.