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Layer: SRK_LMVulnerability (0)

Name: SRK_LMVulnerability

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Description: This dataset represents a composite vulnerability assessment for local municipalities in KwaZulu‑Natal, developed to support disaster risk profiling, planning, and prioritisation. Vulnerability modelling was conducted based on relative vulnerability levels associated with social, structural, economic, and environmental dimensions.Social vulnerability mapping was based on demographic and socio‑economic indicators reflecting dependency and deprivation. Vulnerable age groups (children younger than 14 years and adults older than 65 years) were combined with indicators of poverty and food insecurity to represent populations with reduced resilience and adaptive capacity. These indicators were integrated into a composite social vulnerability index and visualised through thematic mapping in a Geographic Information System (GIS) environment. Indicators were expressed as proportions at municipal level, classified using quantile‑based methods, and visualised through choropleth mapping to identify spatial patterns and clusters of higher and lower vulnerability. Composite vulnerability indices were calculated by integrating reclassified indicator scores, producing relative vulnerability rankings rather than absolute risk measures.This dataset represents a screening‑level vulnerability product and does not provide real‑time conditions or predictive outcomes. It is intended to support strategic planning, comparative assessment, and prioritisation within disaster management and climate risk contexts.

Service Item Id: a8b802985d1549eca542f1d0f7e74c15

Copyright Text: Municipal Demarcation Board (MDB), Produced by Herman Booysen, SRK Consulting. Project context: Disaster Management and climate risk assessment for KwaZulu‑Natal (internal GIS workflows).

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Layer: SRK_DMVulnerability (1)

Name: SRK_DMVulnerability

Display Field: PROVINCE

Type: Feature Layer

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Description: This dataset represents a district‑level vulnerability assessment for KwaZulu‑Natal, produced by aggregating local‑municipality vulnerability indicators to district municipality boundaries. The vulnerability modelling reflects relative vulnerability levels associated with social, economic, structural, and environmental dimensions and is intended to support disaster risk assessment and planning at district scale.Local‑municipality vulnerability indicators were first calculated at municipal level using demographic, socio‑economic, service delivery, and land‑use indicators. Social vulnerability indicators included the proportion of vulnerable age groups (population younger than 14 years and older than 65 years), food insecurity indicators (child and adult hunger), and poverty‑related variables. These indicators were combined into composite municipal vulnerability indices.For district‑level aggregation, centroid point features were generated from local municipality polygons, with each centroid retaining the associated municipal vulnerability attributes. These centroid points were then spatially joined to pre‑existing district municipality polygons using a spatial containment relationship.A one‑to‑one spatial join was applied, and municipal‑level vulnerability values were summed for each district. The resulting field, TotalVulnerability2, represents the aggregated vulnerability score for each district municipality, reflecting the combined contribution of local municipalities within the district.Economic and structural vulnerability components incorporated land‑use indicators derived from the 2022 national land cover dataset (mining, industrial, and commercial land uses) and infrastructure service indicators, including sanitation type, cooking fuel type, and refuse disposal methods. These indicators collectively capture patterns of economic activity, service provision, and infrastructural resilience.Vulnerability values are relative and comparative, not absolute measures of risk. This dataset represents a screening‑level analytical product and does not provide real‑time or predictive vulnerability information.

Service Item Id: a8b802985d1549eca542f1d0f7e74c15

Copyright Text: Municipal Demarcation Board (MDB), Produced by Herman Booysen, SRK Consulting. Project context: Disaster Management and climate risk assessment for KwaZulu‑Natal.

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