Spatial Clustering of Housing Backlog and Socioeconomic Inequality: Evidence from the  Special Region of Yogyakarta

Fahril Fanani; A. Yunastiawan Eka Pramana; Ayu Candra Kurniati

doi:10.31815/jp.v21i1.639

Authors

Fahril Fanani Urban and Regional Planning, Intitut Teknologi Nasional Yogyakarta, Indonesia
A. Yunastiawan Eka Pramana Urban and Regional Planning, Intitut Teknologi Nasional Yogyakarta, Indonesia
Ayu Candra Kurniati Urban and Regional Planning, Intitut Teknologi Nasional Yogyakarta, Indonesia

DOI:

https://doi.org/10.31815/jp.v21i1.639

Keywords:

Housing Backlog, spatial clustering, LISA, socioeconomic inequality, Yogyakarta

Abstract

Housing backlog remains a critical challenge in Indonesia, particularly for low-income communities.
However, existing mitigation policies often rely on aggregate data, overlooking the spatial concentration of
poverty and housing needs. This study investigates the spatial clustering of housing backlogs and its
correlation with socioeconomic status in the Special Region of Yogyakarta. Utilizing a quantitative spatial
approach, the study employs Global Moran’s I and Local Indicators of Spatial Association (LISA) to diagnose
geographic disparities. The analysis reveals a significant positive spatial autocorrelation (Moran's I =
0.643), identifying distinct "hotspots" where high housing deficits significantly overlap with low
socioeconomic clusters. Unlike conventional descriptive studies, these findings demonstrate that housing
vulnerability is not randomly distributed but structurally trapped in specific zones. The study concludes
that "one-size-fits-all" subsidies are insufficient and advocates for spatially targeted interventions to
address these entrenched inequalities effectively.

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