Data Underlying the Publication: From Flux to Capital: Distinguishing Patterns of Income and Wealth Segregation in the Netherlands
DOI: 10.4121/2cdc29ea-eac0-4859-b878-7b6b870b3197
Datacite citation style
Dataset
This dataset contains indicators of household-level income and wealth inequality and residential segregation in the Netherlands. This information is derived from restricted geo-coded register microdata provided by Statistics Netherlands and used in the analyses published in the referenced paper, where the methodology for calculating these data is included. It includes measures of income and wealth inequality at the household level for 2022, adjusted for the number of household members and distinguishing between financial wealth and real estate wealth; residential segregation of income and wealth, computed with adjustments both for household members and adults, and likewise distinguishing between financial and real estate wealth, for the 2011-2022 period and for different geographic scales of spatial computation of segregation; demographic data for 500 m × 500 m grid cells covering the entire Dutch territory for 2022; information on the income and wealth percentiles of households, disaggregated into financial and real estate wealth; and detailed wealth distribution data for the Netherlands, distinguishing between financial and real estate wealth, between households headed by individuals born in the Netherlands and those born abroad, and for all years of the population distribution, for the year 2022. Together, these indicators provide a comprehensive view of economic inequality and residential segregation in the Netherlands, capturing both levels (inequality and percentiles) and spatial patterns (segregation across multiple scales). This dataset also contains the R scripts used for the computation of the data and its visualization in the referenced paper.
History
- 2025-10-27 first online, published, posted
Publisher
4TU.ResearchDataFormat
xlsx, shp, cpg, dbf, prj, qmd, shxFunding
- European Union's Horizon 2020 Programme (grant code 678919) European Research Council
Organizations
TU Delft, Faculty of Architecture and the Built Environment, Department of UrbanismDATA
Files (39)
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