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This paper demonstrates a simple methodological sequence for the statistical calculation of a context-sensitive quality of life index especially suitable for use in the Global South, i.e. lower and middle income countries. We draw on the large (n = 24,889), area-sampled, survey dataset of the fifth Quality of Life Survey (QoL V, 2017/18) of South Africa's Gauteng province, conducted by the Gauteng City-Region Observatory. Using overtly exploratory analysis, and a fully reflective conception of indicators, we apply exploratory factor analysis (EFA) in two stages to generate our model, while defending our approach methodologically and empirically and indicating its philosophical foundations. We contrast this approach to previous analyses using the QoL I (2010) data, which defined their dimensions and assign their indicators in advance, drawing on literature and indexes largely from the Global North. We ran series of EFAs on 60 longitudinally available variables from the QoL V data set. This allowed us to determine the optimal number of factors/dimensions, guided by established criteria and the interpretability of the grouped indicators. Each dimension score is calculated arithmetically, using the indicators' factor loadings as weights. Then the dimensions, weighted by their eigenvalues, are aggregated into the composite index, scaled to run from 0 to 100. The resulting seven-dimension, 33-indicator model was validated through confirmatory factor analysis (CFA) on the QoL V data; and its configural invariance, i.e. whether the pattern of indicators amongst the factors holds over time, was checked against the two previous QoL datasets and confirmed. This validates the ability of the approach outlined to generate a stable index. Analysis of the resulting quality of life index by race and municipality reveals trends consistent with the South African context. Overall, the White population group has the highest measured quality of life index, followed in turn by the Indian/Asian, Coloured and Black African population groups. Changes in the quality-of-life ranking of the nine municipalities comprising Gauteng province may be observed over time, using the validated previous models. The value of the exploratory approach in enabling context to influence the index construction is highlighted by the emergence of a distinct dimension of bottom-up political voice, which is relevant for democratic governance. [ABSTRACT FROM AUTHOR]

This paper presents the Provincial Indices of Multiple Deprivation that were constructed by the authors at ward level using 2001 Census data for each of South Africa’s nine provinces. The principles adopted in conceptualising the indices are described and multiple deprivation is defined as a weighted combination of discrete dimensions of deprivation. The methodological approach used is outlined and key findings are presented for one province—the Eastern Cape. The paper summarises the ways in which the research is being developed further and the potential uses of these tools for policy and research. [ABSTRACT FROM AUTHOR]

South African cities attract thousands of new residents every year in search of work and a better life. The housing backlog coupled with a shortage of housing subsidies means that for many South Africans there is no alternative but to live in informal housing and shack settlements. Informal settlements are therefore here to stay for the next decade and beyond. Given the importance of these residential areas, research needs to be undertaken to determine how to improve the lives of people living in shack settlements. This theme has received little dedicated attention by South African quality of life researchers in the past and the paper begins to address this by exploring the quality of life of informal dwellers in three distinct city areas in South Africa: Buffalo City, Durban, and Alexandra, Johannesburg. The paper investigates the factors that are most important in improving the quality of life of residents in informal housing as well as the main obstacles to a better quality of life. It uses regression analysis to obtain an understanding of the kinds of issues which shape quality of life in these areas and concludes by suggesting several research directions which would improve our knowledge of quality of life for informal settlement residents. [ABSTRACT FROM AUTHOR]

The South African Quality of Life Trends study has tracked the subjective well-being of South Africans in ten waves from 1983 to 2010. The paper presents the SAQoL trendline of life satisfaction, happiness and perceptions of life getting better or worse against the backdrop of the transition from apartheid to democracy. Subjective well-being peaked in the month following the first open elections in April 1994 when black and white South Africans were equally satisfied and happy at levels found in other democratic societies. But post-election euphoria was short-lived and levels of well-being dropped the following year and racial inequalities in evaluations of life re-emerged. The tenth and latest wave in the study was conducted a few months after South Africa's successful hosting of the Soccer World Cup. In 2010, the proportions of all South Africans expressing satisfaction, happiness and optimism was among the highest since the coming of democracy-just over half stated they were satisfied, close on two-thirds were happy, and half felt life was getting better. Nonetheless, while the standard of living has increased for a minority of formerly disadvantaged South Africans and a small black middle class has emerged, there are still huge disparities in both material and subjective well-being. In 1997 and 2010, South Africans were asked what would make them happier in future. In 2010, the majority of citizens still hoped for basic necessities, income and employment, to enhance their quality of life. [ABSTRACT FROM AUTHOR]

This paper was a result of an analysis from various data sources with a purpose to develop a better understanding of the level of socio-economic well being of young people in South Africa. Such understanding is aimed at enabling government to plan and implement well-structured and integrated development programmes that are relevant to the socio-economic needs of the youth and that will enable them to fully participate in all aspects of society. Two main sources of data were used for this analysis. The first is the Status of the Youth (SYR) data set. The second data set used in this study is the South African Social Attitudes Survey (SASAS) which is a national representative sample of 5,000 households. The study shows that the quality of life among majority of young people remains low, reflecting the historical racial cleavages of South African society. This is mainly due to the emergence of the AIDS pandemic in South Africa, and the fact that many young people remain outside the labour market. [ABSTRACT FROM AUTHOR]

Most research on the non-economic quality of life have been (a) on a national level or performed on cross-country comparisons, and/or (b) used subjective indicators to measure how people perceive their non-economic quality of life. In this paper, our main contribution is to construct objective indicators of the non-economic quality of life for 354 sub-national magisterial districts in South Africa. We also compare changes in these indicators over time, and consider methodological issues in the construction of objective indicators of non-economic quality of life. We find that although income does matter for the overall quality of life, non-income components of the quality of life can make an important difference. We find a number of places with low incomes that have been able to achieve higher than expected outcomes in terms of the non-economic quality of life, and that some of the relative income poor areas have improved their non-economic ranking between 1996 and 2004. We also find that the geographical/environmental quality of life in South Africa is better in non-urban areas, where fewer of the country’s population is residing. Significant improvements in the overall quality of life may be achieved through improvements in the urban natural environment. [ABSTRACT FROM AUTHOR]

The issue of what determines subjective well-being has been at the centre of a recent flurry of research in the economics field. A necessary part of this understanding is the role relative positions (economic, social, geographic) of economic agents, particularly individuals, play in life (commonly referred to in the literature as rivalry). In this paper, we concentrate on whether the structure of happiness equations of South Africa are the same/similar to those of developed countries. The analysis uses three of the Durban Quality of Life Studies. Firstly these three data series are pooled and a variety of covariates are tested for their significance on happiness. These include age, marital status, employment status, household income and relative household income. Next we estimate yearly cross-sectional models to see if there are consistent findings of what determines happiness across the period considered. Our findings indicate there may be some structural differences between results from the Durban studies and those of international findings. Age appears to play no role in happiness likelihood, nor does marital status. Being unemployed does significantly and negatively effect happiness as does the size of household income, relative household income and whether living in a formal dwelling place. When we distinguish between employment categories we find that being self-employed negatively affects happiness, contradicting findings for developed countries. [ABSTRACT FROM AUTHOR]

South Africa has a Gini co-efficient of 62, one of the world’s highest (Finmark: Project FinScope 2004 and 2005, FinMark Trust, Johannesburg). Hence, measures of wealth are ubiquitous social indicators in South Africa. However, a growing emphasis in government towards measurable service delivery targets and remedial action to redress the inequalities of our past makes the reliable measurement of people’s quality of life in greater depth in quantitative terms an imperative. We have developed a simple framework to measure people’s quality of life in key domains that extend beyond that simply of wealth, using composite indices to allow progress to be tracked and to make valid comparisons across our diverse population. Termed the Everyday Quality of Life Index (EQLi), it comprises a suite of measures encompassing socio-economic status (with special reference to poverty), urbanisation, health (nutrition, exercise and fitness), stress/pressure, quality of the environment, satisfaction of human needs, connectivity, optimism, subjective well-being (happiness, after Diener and Lucas: 2000, in M. Lewis, J.M. Haviland (eds.), Handbook of Emotions. (2nd ed) (Guilford, New York)), and the overall measure of well-being, the EQLi itself. The initial framework was developed from a structured questionnaire administered to a probability sample of 2000 South African adults in 2002. From this, a 52-item shortlist was derived to create the series of measures. This has been tested and refined in three subsequent annual studies, each of 3500 people across urban and rural South Africa. In 2004, items involving work as well as determining the balance of skills and challenges at work using the concept of “flow” (Csikszentmihalyi: 1990, Flow: The Psychology of Optimal Experience (Harper and Row, New York)) were added. This paper outlines the rationale behind the selection and development of these measures, describes the EQL of South Africans using these and other key measures and concludes with implications for policy-makers and service providers in South Africa. Some marketing implications are also given: there is a growing emphasis worldwide on corporate social investment initiatives and, particularly in South Africa, on community upliftment and development – poverty alleviation and improving the lives of the disadvantaged (“people” rather than “consumers”). Further, people’s well-being affects how they react to marketing activities. [ABSTRACT FROM AUTHOR]

Using nationally representative survey data, this paper explores the relationship between religiosity and quality of life. Three indicators of religiosity are used: (i) frequency of attendance at religious services or meetings, (ii) orthodoxy of beliefs in relation to Biblical teachings and (iii) religious denomination. Quality of life (QoL) is measured in terms of (i) household access to modern conveniences, (ii) self-assessed life satisfaction and (iii) level of satisfaction with government institutions. The data shows a significant but not very strong statistical relationship between religiosity and QoL. People who attend religious meetings most frequently and who hold the most orthodox religious views are thus more likely to have access to modern conveniences and to be satisfied with their lives. Satisfaction with government, however, tends to be highest amongst nominally religious people and lowest amongst both the most orthodox and the least religious. [ABSTRACT FROM AUTHOR]

Are certain groups of unemployed individuals hurt less by unemployment than others? This paper is an attempt to test the hypothesis that non-pecuniary costs of unemployment may vary between societies with different unemployment rates. Using cross-sectional data from the SALDRU93 survey, I show that households’ perceptions of life satisfaction are inversely related to household unemployment for South Africa as to be expected in richer countries. Reported well-being levels are shown to be associated negatively with others’ unemployment at the geographical cluster level for the employed. However, unemployment appears to hurt less for the household if unemployment rates in the local labour market are high. [ABSTRACT FROM AUTHOR]