Trends of multidimensional inequality & socio-demographic change in SA during 27 years of democracy

Page 13

4.

INEQUALITY FOR WHOM?

The starting point for any discussion on inequality is defining the population for whom inequality is being measured. An inequality assessment presupposes a distribution of resources relative to a given population within which the ranking of resources relative to individuals can be done. According to the 2019 General Household Survey (GHS), the most recent version of the survey for which data is available, there are 58.4 million people and 17.2 million households in South Africa. The number of households in South Africa grew at 2.4% per annum while the number of individuals grew at 1.5% per annum between 2001 and 2019. This discrepancy is driven to a large degree by the continued growth in one-person households, a phenomenon commonly associated with urbanisation, and in South Africa, with migration and employment patterns. The growth in households has clear implications for service delivery; an increase in the number of households implies a need for more dwellings, albeit smaller, and more infrastructure to service these dwellings appropriately.

Figure 2: Growth in the number of individuals and households in South Africa, 2001-2019 Sources: Census 2001, Community Survey 2007, Census 2011, Community Survey 2016, GHS 2019

58,428,890.48 55,653,654 48,502,057

51,770,560

16,923,309

44,819,777

17,200,000

14,450,161 12,500,609 11,205,705

Growth in population and households is also not evenly distributed across the country, with noticeably higher population growth in better-developed areas, as individuals migrate to access jobs, better-quality housing, education and healthcare. The latest mid-year population estimates published by Stats SA in July 2021 indicate that Gauteng has seen net in-migration of almost one million people between 2016 and 2021, with the Eastern Cape, Limpopo and KwaZulu-Natal experiencing net out-migration of 320,000, 189,000 and 84,000 people respectively.

4

TRENDS IN MULTIDIMENSIONAL INEQUALITY AND SOCIO-DEMOGRAPHIC CHANGE IN SOUTH AFRICA DURING 27 YEARS OF DEMOCRACY


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Table 13: Population groups' modes of transport to healthcare facilities

13min
pages 51-58

Info Box 5: Pollution near coal mines

3min
page 49

Table 12: Different fuel sources used for cooking, by population group, 2003 & 2019

1min
page 50

Table 11: Afrobarometer responses about a survey on voting freedoms without pressure

1min
page 48

Info Box 4: Gugulethu street committee leader

4min
pages 46-47

Figure 29: Number of households living in different types of housing, 2015/2015

4min
pages 43-45

Figure 25: Means of transport to health facility by geographic location (total households=17.2m

2min
page 39

Figure 28: Number of households living in different types of housing, 2001-2019

1min
page 42

Figure 24: Narrow rate of unemployment for young graduates (2008-2020

4min
pages 37-38

Figure 18: Share of population aged 25-64 by highest level of education and race, 2010 and 2020

1min
page 33

Figure 19: Demographic shift in young graduate (<35 years) profiles by race and gender between 2008 and 2020

1min
page 34

Figure 17: Share of population by highest level of education and age group, 2020

1min
page 32

Figure 10: Reported levels of household hunger (17.2m households

1min
page 27

Table 4: Comparing the Gini coefficient for all households vs. households excluding the top 1% of income households

2min
page 17

Figure 5: Distribution of households by household structure type (total SA population

2min
page 20

Figure 9: Households' main income source by LSM group

1min
page 26

Figure 2: Growth in the number of individuals and households in South Africa, 2001-2019

1min
page 13

Table 7: Median and average monthly per capita incomes of households, by household structure

2min
page 21

Figure 4: Average annual percentage population growth, 1985 – 2020

2min
page 19

Figure 7: Racial composition of post-tax income groups, 2019

0
page 24

Figure 1: Framework for assessing multiple dimensions of inequality using a capability approach2

2min
pages 11-12
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