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Vector dataset representing relative vulnerability levels for district municipalities in KwaZulu‑Natal (KZN). District‑level vulnerability values were derived by spatially aggregating local‑municipality vulnerability indicators using centroid‑based spatial joins and summation. The dataset supports district‑scale disaster risk assessment, comparison, and strategic planning. |
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Vector dataset representing relative vulnerability levels for district municipalities in KwaZulu‑Natal (KZN). District‑level vulnerability values were derived by spatially aggregating local‑municipality vulnerability indicators using centroid‑based spatial joins and summation. The dataset supports district‑scale disaster risk assessment, comparison, and strategic planning. |
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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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5000 |
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<div style="text-align:Left;"><div><div><div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><p>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.</p><p>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.</p><p>For district‑level aggregation, <strong>centroid point features were generated from local municipality polygons</strong>, with each centroid retaining the associated municipal vulnerability attributes. These centroid points were then spatially joined to <strong>pre‑existing district municipality polygons</strong> using a spatial containment relationship.</p><p>A one‑to‑one spatial join was applied, and municipal‑level vulnerability values were <strong>summed</strong> for each district. The resulting field, <code><strong>TotalVulnerability2</strong></code>, represents the aggregated vulnerability score for each district municipality, reflecting the combined contribution of local municipalities within the district.</p><p>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.</p><p>Vulnerability values are <strong>relative and comparative</strong>, not absolute measures of risk. This dataset represents a screening‑level analytical product and does not provide real‑time or predictive vulnerability information.</p></div></div></div></div> |
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<div style="text-align:Left;"><div><div><div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><p>This dataset represents a <strong>screening‑level district vulnerability assessment</strong> intended to support strategic disaster risk profiling, planning, and prioritisation.</p><p>It is <strong>not suitable</strong> for:</p><ul><li>Operational disaster response or declaration</li><li>Real‑time vulnerability monitoring</li><li>Local‑ or household‑scale analysis</li></ul><p>Results should be interpreted comparatively and used alongside supporting datasets, expert judgement, and local contextual knowledge.</p></div></div></div></div> |
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LDR.SRK_DMVulnerability |
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["Vulnerability","district municipality","KwaZulu Natal","KZN","disaster management","social vulnerability","economic vulnerability","service delivery","GIS","spatial aggregation"] |
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en-ZA |
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150000000 |
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