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These datasets show the official administrative boundaries as supplied by the Municipal Demarcation Board and Department of Rural Development and Land Reform. A unique AfriGIS ID is added to each feature.

The cadastre is a register of the surveyed property boundaries in the country, as captured by the Surveyor General’s Offices around the country. CAD consists of a few layers – farms – subdivided into (farm) portions, holdings and when the portions are further subdivided into smaller units – erven – certain areas/ units are knowns as parks and streets

This dataset includes more than 240,000 points of interest, including 20 main categories and over 780 sub-categories.

This dataset includes more than 21,000 suburb boundaries of the metropolitan, major towns and villages in the country. The associated postal codes for box and street delivery per suburb are also included.

This layer consists of boundaries of the old towns or municipalities aligned with the official municipal boundaries. For example the Sandton boundary is part of the City of Johannesburg. Similarly, in the rural areas town boundaries for towns such as Brits and Magaliesburg are included. Custom town boundaries for well known “unofficial” places such as the Bluff in Durban have also been created.

This dataset is a spatial representation of official postal code tables supplied by the South African Post Office. Suburbs with the same postal code are merged to form postal code regions. As registered Postal Address Management Service Supplier (PAMSS), AfriGIS receives the latest postal code table each month. This spatial dataset includes postal region boundaries for both box and street deliveries.

This dataset is a spatial representation of official postal code tables supplied by the South African Post Office. Suburbs with the same postal code are merged to form postal code regions. As registered Postal Address Management Service Supplier (PAMSS), AfriGIS receives the latest postal code table each month. This spatial dataset includes postal region boundaries for both box and street deliveries.

This layer is a register of the Sectional Schemes titles as registered at the deeds office. Each sectional scheme is represented as a point feature in the dataset and includes the number of units.

This layer shows the boundaries of proclaimed towns, also called townships, as surveyed by the Surveyor General and registered with the Department of Rural Development and Land Reform (DRDLR).

This dataset is a spatial representation of official built-up areas in South Africa as derived from the AfriGIS Proclaimed Towns. The Proclaimed Towns area is merged to give National coverage of all areas covered by Proclaimed Towns and therefore erven.

A “gated community” is an area strictly controlled by entrances and exits for its residents, guests and/or the community. AfriGIS has extended this definition to include office parks and restricted access areas of high population concentration. The AfriGIS Gated Communities data layer includes sectional scheme or townhouse complexes, boomed off areas, business parks, golf and residential estates, retirement villages as well as eco, wildlife and private estates. The polygon layer includes the number of stands and units in each area as well as the location attributes of suburb, town, municipality and province.

This dataset includes more than 45 000 gated communities throughout South Africa. The associated postal codes for box and street delivery per suburb are also included.

This topographical layer represents the spatial distribution and arrangement of human-made structures within the landscape. It highlights areas that have been significantly modified by human activity, including residential, commercial, and industrial zones. The layer provides a clear depiction of built environments as opposed to natural terrain, aiding in urban planning, infrastructure development, and environmental analysis.

This layer represents natural and artificial waterbodies, including dams, streams, and rivers, as captured on topographical maps at a 1:50 000 scale. It provides detailed hydrographic information essential for environmental analysis, land-use planning, and hydrological studies. The data originates from the Chief Directorate: Surveys and Mapping (CDSM), ensuring authoritative and accurate representation of South Africa’s water features.

This topographical layer represents the river network within the mapped area, showcasing the natural course and flow patterns of rivers. It is derived from authoritative cartographic sources and designed for accurate hydrological analysis and visualisation.

This layer provides a detailed representation of railway infrastructure within the topographical map series. It is designed to accurately depict railway networks and associated features, ensuring clarity and usability for spatial analysis, planning, and navigation. The data is derived from authoritative sources and adheres to cartographic standards for precision and consistency.

This topographical layer visually represents the boundaries of officially designated nature reserves. It provides spatial context for conservation areas, supporting environmental planning, biodiversity management, and land-use analysis.

The Combination of Sublocality and Locality Spatial Layer is a composite geospatial dataset that integrates detailed sublocality boundaries with their corresponding locality context. This layer provides granular spatial information by mapping smaller administrative or neighbourhood units (Sublocalities) while clearly indicating the larger locality in which each sublocality resides. It is designed to enhance spatial analysis, improve address validation, and support location-based decision-making by offering hierarchical geographic relationships.

This is a polygon-based spatial layer that consolidates multi-source measurements at the sublocality level (e.g., suburbs, wards, neighbourhoods). The layer provides standardised, comparable metrics for demographics (Census), transport supply and access (Road Network), service and amenity intensity (POI), and land use/economic footprint (Land Parcels). It is designed to support cross-domain insights, performance benchmarking, planning prioritisation, and data-driven decision-making across urban analytics, service delivery, and commercial strategy.