LocalMunicipalities2011

20260304 10100800 1.0 ISO19115_3 002 SRK_LM_InfrastructureVulnerability 0.000 16.451890 32.944985 -34.834170 -22.125030 1 Geographic GCS_Hartebeesthoek_1994 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'><WKT>GEOGCS["GCS_Hartebeesthoek_1994",DATUM["D_Hartebeesthoek_1994",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4148]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>8.98315284119521e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4148</WKID><LatestWKID>4148</LatestWKID></GeographicCoordinateSystem> 150000000 5000 20260324 14453600 FALSE 20260324 14453600 XTools Pro Metadata <div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;">This dataset represents an infrastructure vulnerability assessment for local municipalities in KwaZulu‑Natal, developed to support disaster risk profiling, comparative analysis, and resilience planning. Infrastructure vulnerability reflects the degree to which households and communities are exposed to service delivery failures and infrastructure deficiencies that can amplify disaster impacts and constrain recovery.The base local municipality polygon dataset originates from nationally maintained municipal boundary datasets updated through multiple redetermination cycles between 2009 and 2016. These boundaries were progressively standardised, attributed, and prepared for analysis, including the creation of composite naming fields and the retention of district and provincial identifiers. 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‑based 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‑electric 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‑health 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, <code>TotalInfrastructureVulnerability</code>, representing the relative level of infrastructure‑related 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‑ready 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‑dimensional vulnerability assessment.This is a screening‑level analytical product and does not represent real‑time service delivery conditions.</div> LocalMunicipalities_InfrastructureVulnerability 27.921617 33.296547 -26.213308 -32.992615 1 infrastructure vulnerability local municipality KwaZulu‑Natal KZN disaster management service delivery sanitation cooking fuel refuse disposal GIS Vector dataset representing relative infrastructure vulnerability for local municipalities in KwaZulu‑Natal (KZN). Infrastructure vulnerability indicators were derived from municipal‑level service delivery and household infrastructure attributes and integrated into a composite infrastructure vulnerability score for disaster risk assessment and planning. Municipal Demarcation Board (MDB), Produced by Herman Booysen, SRK Consulting. Project context: Disaster Management and climate risk assessment for KwaZulu‑Natal (internal GIS workflows). <div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;">This dataset represents a screening‑level infrastructure vulnerability assessment intended to support disaster risk profiling, planning, and prioritisation at local municipality scale.It is not suitable for:<ul><li>Operational service delivery monitoring</li><li>Engineering‑level infrastructure assessment</li><li>Household‑ or site‑specific analysis</li></ul>Results should be interpreted comparatively and used in conjunction with supporting socio‑economic data, sector‑specific infrastructure information, expert judgement, and local validation.</div> Esri ArcGIS 13.6.0.59527 dataset /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy 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Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 8 0 0 Feature geometry. ESRI Coordinates defining the features. CATEGORY CATEGORY String 5 0 0 CAT2 CAT2 String 254 0 0 MUNICNAME MUNICNAME String 100 0 0 CAT_B CAT_B String 150 0 0 PROVINCE PROVINCE String 50 0 0 DISTRICT_N DISTRICT_N String 100 0 0 TotalInfrastructureVulnerability TotalInfrastructureVulnerability Double 8 38 8 Electricity_from_mains Electricity from mains Double 8 38 8 Other_source_of_electricity__e_g__generator_etc__ Other source of electricity (e.g. generator etc.) Double 8 38 8 Gas Gas Double 8 38 8 Paraffin Paraffin Double 8 38 8 Wood Wood Double 8 38 8 Coal Coal Double 8 38 8 Animal_dung Animal dung Double 8 38 8 Solar Solar Double 8 38 8 Other Other Double 8 38 8 None None Double 8 38 8 Total Total Double 8 38 8 VulnerableCooking VulnerableCooking Double 8 38 8 PercentageCooking PercentageCooking Double 8 38 8 PercentageRefuge PercentageRefuge Double 8 38 8 PercentageToilet PercentageToilet Double 8 38 8 PercentageCooking_NATURAL_BREAKS PercentageCooking_NATURAL_BREAKS_CLASS Integer 4 10 0 PercentageCooking_NATURAL_BREAKS_RANGE PercentageCooking_NATURAL_BREAKS_RANGE String 19 0 0 PercentageRefuge_NATURAL_BREAKS PercentageRefuge_NATURAL_BREAKS_CLASS Integer 4 10 0 PercentageRefuge_NATURAL_BREAKS_RANGE PercentageRefuge_NATURAL_BREAKS_RANGE String 19 0 0 PercentageToilet_NATURAL_BREAKS PercentageToilet_NATURAL_BREAKS_CLASS Integer 4 10 0 PercentageToilet_NATURAL_BREAKS_RANGE PercentageToilet_NATURAL_BREAKS_RANGE String 19 0 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 0 ESRI ArcCatalog 9.3.0.1770 en REQUIRED: A brief narrative summary of the data set. REQUIRED: A summary of the intentions with which the data set was developed. REQUIRED: The name of an organization or individual that developed the data set. REQUIRED: The date when the data set is published or otherwise made available for release. LocalMunicipalities2011 LocalMunicipalities2011 vector digital data withheld REQUIRED: The basis on which the time period of content information is determined. REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground. REQUIRED: The state of the data set. REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed. REQUIRED: Western-most coordinate of the limit of coverage expressed in longitude. REQUIRED: Eastern-most coordinate of the limit of coverage expressed in longitude. REQUIRED: Northern-most coordinate of the limit of coverage expressed in latitude. REQUIRED: Southern-most coordinate of the limit of coverage expressed in latitude. REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. REQUIRED: Common-use word or phrase used to describe the subject of the data set. REQUIRED: Restrictions and legal prerequisites for accessing the data set. REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted. Personal GeoDatabase Feature Class en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time REQUIRED: The person responsible for the metadata information. REQUIRED: The organization responsible for the metadata information. REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. REQUIRED: The telephone number by which individuals can speak to the organization or individual. 20110117 ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 Downloadable Data Vector Simple FALSE 0 TRUE FALSE GCS_WGS_1984 D_WGS_1984 WGS_1984 6378137.000000 298.257224 Explicit elevation coordinate included with horizontal coordinates 0.000100 Dataset copied. withheld 20090724 14491900 Dataset copied. withheld 20110517 19222900