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Monitoring Indicators of Living Conditions in a South African Urban Community

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Community Quality-of-Life Indicators: Best Cases V

Part of the book series: Community Quality-of-Life Indicators ((CQLI,volume 3))

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Abstract

A social indicators community project was launched in 1999 to monitor changing living standards in Rhini, a low-income suburb of Grahamstown, Makana Municipality, South Africa. Since 1994, under democratic rule, considerable progress has been made in service delivery to the formerly disadvantaged in South African society in terms of access to housing, infrastructure, and a social safety net to mitigate the high rate of unemployment. Results from two representative cross-sectional household surveys (n862/n1,020) conducted in 1999 and 2007 in Rhini demonstrate major changes in material living standards. However, these increases are not reflected in assessments of the household situation. Results are discussed against the background of rising expectations and social policy under democracy. It is concluded that income and employment poverty might dilute gains from higher material living standards. Further research using panel-study data is needed to demonstrate the lasting effects of service delivery on perceived quality of life in South Africa.

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Notes

  1. 1.

    Academics based in developing countries have an obligation to contribute not only to basic research to expand the frontiers of knowledge, they are also morally obliged to conduct research in the public interest. In South Africa, funding for research is usually conditional on its proposed benefits to society.

  2. 2.

    In 2009, the cost of one government housing subsidy was R50,000 (approximately US$6,700).

  3. 3.

    In 2010, the Makana Municipality assured the residents of Rhini that the government had approved funding for rectifying deficient state-subsidised houses countrywide (van Wynegaard, 2010).

  4. 4.

    http://www.health-e.org.za/news/article.php?uid=20032095. Accessed 10 March 2010.

  5. 5.

    According to the Centre for Development and Enterprise, a South African think tank, www.irinnews.org/report.aspx?ReportID=80741. Accessed 20 March 2009.

  6. 6.

    The first study reported here conducted in 1999 referred to Grahamstown East/Rhini (spelt as ‘Rini’ as on the census and other maps). This chapter uses Rhini, the older popular name. The designation of Grahamstown East was meant to project the idea of a unified city in contrast to the apartheid city that typically separated residential areas by race.

  7. 7.

    To date, Grahamstown population figures are only estimates. The South African census gives population figures for Rhini that are generally considered much too low. The Makana Municipality engineers use a figure one and a half times larger than the census figures while our household surveys have yielded estimates between the two (Møller, Manona, van Hees, Pillay, & Tobi, 2001).

  8. 8.

    The largest town in Makana Municipality following the 2000 local government elections.

  9. 9.

    The proposed new neighbourhood is to be located between two formerly racially defined residential areas for African and coloured people under apartheid.

  10. 10.

    The issue of water quality has come to the fore since the 2007 survey was conducted. In 2010, residents of Grahamstown were concerned that tap water was toxic and not safe to drink due to a dysfunctional chlorinator at one of the treatment plants. A spokesperson for Rhini complained of frequent water outages and brown sludge coming out of taps (Butana & Potter, 2010). In a public debate the municipality was accused of negligence, of not servicing treatment plants, and failing to regularly take samples of water for testing as required by law.

  11. 11.

    Eligible for inclusion in the survey were adults over the age of 18 years who had lived in Rhini for at least 6 months during the past year. If the person selected was not available, an appointment was made to conduct the interview at a later time. Up to four visits were made to the household to interview the person selected to be the respondent. An interview was obtained in 97.9 % or 1,020 of the 1,042 households targeted to be in the sample.

  12. 12.

    An age extension to 18 years, to be introduced over several years, was announced in 2008.

  13. 13.

    Access to piped water within 200 m conforms to RDP norms for a minimum standard of living.

  14. 14.

    The survey items read ‘Approximately what is this household’s average monthly income?’ and ‘What monthly income does this household need to get by?’ 13 income categories were supplied.

  15. 15.

    The old-age pension and the disability grant were already well established in the last century. The child support grant introduced under democracy in 1998 aimed to support poor families to provide adequate nutrition for children. It ‘follows the child’ and is paid to the primary caregiver (Lund, 2008).

  16. 16.

    See the Appendix Table 13.7 for details on ratings of neighbourhood satisfaction.

  17. 17.

    Stray animals reportedly trample vegetable gardens that are not fenced and cause road accidents.

  18. 18.

    The household situation was rated as ‘better’ than last year by 18.8%, the ‘same’ by 24.7% and ‘worse’ by 56.5%.

  19. 19.

    Assessment of satisfaction with life as a whole was ‘very satisfied’ (4.2%), ‘satisfied’ (40.1%), ‘neither satisfied nor dissatisfied’ (19.0%), ‘dissatisfied’ (28.5%) and ‘very dissatisfied’ (8.1%).

  20. 20.

    Chi-square was used to test for differences in the frequency distributions of social indicators between the 1999 and 2007 surveys. Bonferroni adjustment to the level of significance ensured that the overall significance level of multiple comparison tests did not exceed 5%.

  21. 21.

    This is a surprising finding given the many local efforts by government and nongovernmental organisations to promote food gardens to boost household food security and nutrition in a time of rising food prices and the AIDS epidemic. It is possible, although no proof has been found to date, that food gardening is stigmatised in that it serves as a marker of HIV-infection and poverty. HIV-positive people are encouraged to grow and eat vegetables to boost their immune systems.

  22. 22.

    Noteworthy is that the objective measure of crime (a housebreaking in the past year) and the subjective satisfaction with the crime situation in the neighbourhood (not a lot of crime in the area) were crowded out by factors in the regression analysis related to livelihoods and living standards. Similarly, an earlier study of criminal victimisation in the Eastern Cape found that crime did not appear to negatively influence subjective well-being which suggests that many South African households have become resilient and have adapted to relatively high crime levels in their communities.

  23. 23.

    Earlier studies of quality of life in South Africa have consistently found that the level of satisfaction with income and job opportunities is lower than all other domains (cf. Møller & Schlemmer, 1983, 1989; Møller, 1998).

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Acknowledgements

An earlier version of this chapter was presented at the First International Sociological Association Forum, ‘Sociological Research and Public Debate’, Barcelona, Spain, 5–8 September 2008, Working Group WG06 Social Indicators. Conference participation was made possible by a Rhodes University travel grant. The chapter is based on data from sample surveys supported by two grants from the South Africa-Netherlands Programme on Alternatives in Development (SANPAD) awarded in 1999 and 2006. Fieldwork for the 2007 survey was commissioned to Development Research Africa. While this sponsorship is gratefully acknowledged, views expressed are those of the authors and should not be attributed to others.

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Correspondence to Valerie Møller .

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Appendix

Appendix

Table 13.7 Neighbourhood quality of lifea

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Møller, V., Radloff, S. (2011). Monitoring Indicators of Living Conditions in a South African Urban Community. In: Sirgy, M., Phillips, R., Rahtz, D. (eds) Community Quality-of-Life Indicators: Best Cases V. Community Quality-of-Life Indicators, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0535-7_13

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