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No geometry edits were applied during the infrastructure vulnerability modelling phase.Infrastructure vulnerability indicators were derived primarily from household service delivery data, focusing on access to basic infrastructure and the reliability of essential services. Key dimensions of infrastructure vulnerability included sanitation, cooking fuel type, and refuse disposal practices. These indicators were sourced from external tabular datasets and joined to the local municipality layer using attribute\u2011based joins.Sanitation vulnerability reflects reliance on toilet types such as chemical toilets, pit latrines (ventilated and unventilated), ecological toilets, and bucket systems. These systems are associated with elevated health risks, environmental contamination, and reduced resilience during service delivery disruptions. Cooking fuel vulnerability captures dependence on non\u2011electric fuels such as paraffin, wood, coal, animal dung, and other biomass sources, which are linked to indoor air pollution, health impacts, and limited adaptive capacity during energy supply failures. Refuse disposal vulnerability considers the prevalence of communal dumps, own dumps, or unregulated dumping, indicating deficiencies in municipal waste management systems and increased exposure to environmental and public\u2011health hazards.Service delivery indicators were expressed as proportions at municipal level and classified using Natural Breaks (Jenks) to identify relative vulnerability classes. Selected vulnerability components were combined into a composite infrastructure vulnerability score, TotalInfrastructureVulnerability, representing the relative level of infrastructure\u2011related vulnerability for each local municipality.Intermediate fields and attributes unrelated to infrastructure vulnerability (including social vulnerability components, join artefacts, and temporary classification fields) were removed during schema cleanup to produce a focused, analysis\u2011ready dataset.Infrastructure vulnerability values in this dataset are relative and comparative, not absolute measures of service adequacy or infrastructure condition. The dataset is intended to be used alongside social, economic, and environmental vulnerability layers as part of an integrated, multi\u2011dimensional vulnerability assessment.This is a screening\u2011level analytical product and does not represent real\u2011time service delivery conditions.", "geometryType": "esriGeometryPolygon", "sourceSpatialReference": { "wkid": 4148, "latestWkid": 4148, "xyTolerance": 8.98315284119521E-9, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -400, "falseY": -400, "xyUnits": 9.999999999999999E8, "falseZ": 0, "zUnits": 1, "falseM": 0, "mUnits": 1 }, "copyrightText": "Municipal Demarcation Board (MDB), Produced by Herman Booysen, SRK Consulting.\nProject context: Disaster Management and climate risk assessment for KwaZulu\u2011Natal (internal GIS workflows).", "parentLayer": null, "subLayers": [], "minScale": 0, "maxScale": 0, "referenceScale": 0.0, "drawingInfo": { "renderer": { "type": "classBreaks", "authoringInfo": { "type": "classedColor", 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