For housing need, the DD guide charts give range estimates of the inter alia, household per capita income, number of housing units projected as needed by 2015 and of the types of unit estimated to be needed, by type of settlement. The Delivery Demand Charts was developed to provide information on differentiated housing demand within low-income settlements at small area level for municipalities across South Africa. The delivery demand charts consist of basic demographic and economic indicators, derived from the Stats SA Census data. The Housing Delivery Demand Charts were designed by the HSRC, with DST support and inputs from local municipalities through the stepSA initiative in 2012.
Indicators include: estimated household per capita income; household size, age of head, % women heads, % heads out of work, dependency ratio, and last inter-Census in-migration rate; and number of housing units projected as needed by 2015.
The Delivery Demand Charts (2012) are available for national, provincial, district and local municipalities.
To view these, click on the links below:
The DD guide charts estimate the number of housing units projected as needed by 2015 and of the types of unit estimated to be needed, by type of settlement, to assist:
- Planners who need community profiling data for their IDPs;
- Decision makers who want to avoid flying blind when they address subsidy housing demand at any tier of government; and,
- Students, university researchers and anyone working with spatial planning.
What you can get from a DD chart:
Reading across the guide charts give a basic picture of housing-related community needs and capacities for shack areas, old and new townships, backyards units, private rentals, mixed areas of formal and informal occupation, and a range of other types of settlement.
Having a detailed information breakdown can help to bring potential policy solutions into focus and open the way to successful implementation. Aggregating demand by type of settlement up to national level allows decision makers to avoid needing to make untestable assumptions and to anchor policy formulation and resource allocation in real-world data.
What Delivery Demand guide charts offer:
The key indicator on offer is estimated household per capita income. Tracking income enables national policy formulation as well as all other tiers of government to start to measure in different types of settlements how rapidly poor households can be shown to be climbing out of poverty.
Other indicators provided for each type of settlement in every municipality include household size, age of head, % women heads, % heads out of work, dependency ratio, and last inter-Census in-migration rate.
For housing need, the DD guide charts give range estimates of the number of housing units projected as needed by 2015 and of the types of unit estimated to be needed, by type of settlement.
The DD guide charts are based on StepSA's demographic/ economic settlement-type classification. This settlement typology is derived from type of dwelling unit together with economic and socio-demographic indicators, and derived from the project’s survey database. The base data for actual computation is from the 2001 Census projected forward to 2015. The new phase, now in preparation, will use 2011 Census data projected to 2018.
For the metro cities, reading the DD charts alongside the Spatial Opportunity Gradients allows students and planners alike to read off the spatial settlement dynamics of cities for their in-migrant poor, illustrating how township populations tend to earn more near the city core while shack populations usually often do best from positioning their housing around the city edge. Results show the zones in the individual city where subsidy housing can be located to give recipients their best economic chance to make the climb out of poverty.
Core Team:
Catherine Cross and Dr Pieter Kok (Independent contractor)
Acknowledgement to contributors:
Gina Weir-Smith and S'bo Zama (HSRC GIS Section)
For more information on the Delivery Demand Charts contact:
Catherine Cross, HSRC
ccross.hsrc@gmail.com