This page demonstrates the variations in levels of inequality between population groupings as well as location.
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The Quality of Life Surveys, compared to dedicated StatsSA surveys, are not able to probe sufficiently into grants as a source of income, and therefore likely under-estimate this income for households at the lower bands, inflating the Gini coefficient. However the challenge will be the same across race, sex and municipal areas, and it is these comparisons that are important here.
The Lorenz curve represents a measure of the distribution of wealth or income at any given scale of analysis. It is often used to illustrate the degree of inequality that exists in a society.
Population share by sex
2009
2011
GINI INDEX
Year
2009
2011
Male
0.7542
0.7380
Female
0.7526
0.7766
GINI INDEX
Year
2009
2011
Black/African
0.7257
0.7415
Indian/Asia
0.6776
0.6900
Coloured
0.7130
0.7501
White
0.6015
0.5935
Note: The income Gini is rated on a scale of 0,0 to 1,0 when 0,0 is completely equitable and 1,0 is completely inequitable.
