The South African Risk and Vulnerability Atlas is an open access platform that unites data to solve complex interconnected problems. SARVA is a living collection of global change resources – including scientific data and long-term observations, static content, references to documentation and reports, and other digital objects.
SARVA is an initiative of the Department of Science and Innovation and forms a 10-year Global Change Grand Challenge. It is currently in its third phase of implementation.
The 2017 Agriculture Census produced by the Department of Statistics South Africa is a country-wide census of commercial agriculture and includes variables such as the type of farm ownership, production land, agricultural products, and agricultural losses,
This dataset contains daily estimates of PM2.5 particulate matter in 1466 cities across Africa as well as an additional 496 smaller population clusters in South Africa.
The spreadsheet provides a list of 52 spatial indicators with open access download links that can be used to map the potential high risk areas for spread of COVID-19, the vulnerability of people to the diseases, and the ability of the healthcare system to cope with the infected population.
The dataset shows estimates of the total population living in poverty. The data was allocated to mesozones by combining with a base mesozone layer. The estimate is a sum of income levels below the upper bound poverty line.
The world is facing a number of complex global challenges or risks. These include changes in the climate system as well as changes in biophysical and human systems such as urbanisation, deforestation, biodiversity loss and, more recently, the rise of pandemics.
Tracking risks and identifying the susceptibility of communities, settlements, or ecosystems to these risks will assist in building more sustainable economies and societies that are more resilient.
SARVA 3.0 presents the spatial and temporal characteristics of a growing number of risks facing South Africa in order to enable decision-makers to identify vulnerable regions, ecosystems and communities.
SARVA 3.0 provides access to datasets and interactive visualisations of 53 vulnerability indicators that can be used to measure the ability of environmental, economic, and social systems to cope with global change.
The district-level Sustainable Development Goal indicator tool links higher spatial and temporal resolution data from a variety of sources to each of the 17 SDGs and associated targets and indicators. We currently have data that covers 15 out of the 17 goals. Click on the SDG logos to view each of the data collections