Visual Analytics of Singapore’s Waste Management and Recycling Performance Using Multi-Source Data Integration

This study presents a comprehensive data visualization and statistical analysis of Singapore’s waste management trends to evaluate progress toward Sustainable Development Goal 12: Responsible Consumption and Production. Drawing on datasets from national agencies and international repositories, the research integrates information on waste generation, recycling, imports, and public behavior to produce a multi-dimensional understanding of the nation’s waste ecosystem. The study employs data preprocessing, transformation, and exploratory visualization techniques to address inconsistencies across diverse data sources and uncover significant temporal and sectoral patterns. Findings reveal increasing plastic dependency, stagnating recycling rates in domestic sectors, and varying degrees of public participation in sustainable practices. Furthermore, the analysis identifies the energy and resource savings achievable through material-specific recycling initiatives, particularly emphasizing non-ferrous metals and plastics. By consolidating visual narratives through Tableau-based dashboards, the study provides actionable insights for policymakers, sustainability researchers, and environmental agencies to design more data-informed strategies for achieving Singapore’s Zero Waste 2035 vision.