Bastmeijer, Zita (2024) Spatial inequalities in neighbourhood socioeconomic status, A case study of six large cities in the Netherlands. Master thesis.
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Abstract
This thesis examines the relation between the demographic composition of a neighbourhood and the mean socioeconomic status of the neighbourhood, additionally, the correlation between socioeconomic status and neighbourhood characteristics is examined. This is done for six large cities in the Netherlands; Enschede, Groningen, Eindhoven, Dordrecht, Amersfoort, and Alphen aan den Rijn. The demographic variables used in this study are population density, ethnicity, age composition, and household composition. The neighbourhood characteristics in the analysis are amenities, green spaces, housing, and safety. Theory suggests that certain groups in the population are more likely to live in low SES neighbourhoods. This includes migrants and single people. Socioeconomic segregation, the clustering of people with similar socioeconomic statuses into specific neighbourhoods, largely overlaps with segregation based on demographic characteristics. Residents of a neighbourhood with a low average SES are often worse off than those of high SES neighbourhoods. The multiple linear regression analysis showed that the relation between the share of inhabitants with a non-western migration background and the SES of the neighbourhood is significant in all cities. At the same time the household composition variables are only significant in Enschede and Groningen, the cities with the lowest mean SES. The Pearson's correlation analysis showed that the correlation between mean house value and neighbourhood SES is strongest in all cities, followed by the safety variables, which have negative coefficients. The correlation coefficients are not significantly different between the cities in most cases. Further research could include more cities and use longitudinal data, to get a deeper understanding of the relations between the demographic composition of a neighbourhood, the neighbourhood characteristics, and socioeconomic status.
Item Type: | Thesis (Master) |
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Degree programme: | Population Studies |
Supervisor: | Zilincikova, Z. |
Date Deposited: | 12 Aug 2024 09:04 |
Last Modified: | 12 Aug 2024 09:04 |
URI: | https://frw.studenttheses.ub.rug.nl/id/eprint/4680 |
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