This study analyses the 1996 South African population census from a feminist perspective by focusing on the questions pertaining to the household. It considers the issue of gender power relations operating at the level of the household and challenges the underlying patriarchal ideology embedded in the census itself. The study into households is situated within the context of current development discourse and practice, and is premised on the role of the census as a key national resource providing information on all sectors of society. Individual structured interviews were carried out with members of the census task team who provided valuable insight into the process of census making. Interviews with academics and activists working on gender issues were also conducted. A semi-structured focus group discussion was conducted with five women living in the Molweni district in KwaZulu-Natal in August 1998 to gather information on productive, reproductive and community managing work and activities. The study makes an argument about the importance of including unpaid reproductive work in our national statistics. The census questionnaire is analysed and a few adjustments are recommended that may allow for the inclusion of unpaid, reproductive labour in the national statistical system. / Thesis (M.A.)-University of Natal, Durban, 2001.

Thesis (M.A.(Demography and Population Studies))--University of the Witwatersrand, Faculty of Humanities, School of Social Sciences, 2016 / BACKGROUND: Under-5 children in KwaZulu-Natal are highly exposed to dying before reaching five years of life. Studies have been conducted to understand the demographic and socioeconomic factors that influence under-5 mortality, both nationally and internationally, with some contradicting findings on the association between some socioeconomic and demographic factors and under-5 mortality. While some studies found child mortality to be significantly associated with rural geographical place of residence, the reverse has also been established. The purpose of this study was to examine the association between socioeconomic and demographic factors and under-5 mortality in KwaZulu-Natal, South Africa. DESIGN: The study was cross-sectional, and utilises 2011 Census secondary data set from Statistics SA. Overall, the census revealed that 55 476 children under the age of 5 had died in the 12 months prior to the census nationally. In KwaZulu-Natal this figure was 15 356. The 10% sample showed that 1 474 under-5 children had died in the same period in KwaZulu-Natal. STATA 12.0 was used for the analysis. Binary logistic regression model was used to examine the association between under-5 mortality and the independent variables. RESULTS: The major findings of the study indicated that (i) male children were 1.22 times more likely to die compared to female children under the age of 5 years; (ii) mothers who had no schooling (AOR=1.82); mothers with primary level of education (AOR=2.43); and mothers with secondary level of education (AOR=1.77), were more likely to experience under-5 mortality compared to mothers with tertiary level education; (iii) mothers whose age at first birth was between 15-19 years (AOR=1.47) and those whose age at first birth was between 25-34 years (AOR=2.14) were more likely to experience under-5 mortality compared to mothers whose age at first birth was between 35-49 years; (iv) Black mothers were more likely to experience under-5 mortality compared to Indian mothers (AOR=5.99); (v) mothers who were employed were 1.22 times more likely to experience under-5 mortality compared to unemployed mothers. Lastly, under-5 mortality was less likely amongst mothers in the medium households compared to those from low income households (AOR=0.65). CONCLUSION: This study found that socioeconomic and demographic factors substantively determine under-5 mortality in KwaZulu-Natal. Evidence from this study suggest that interventions aimed at reducing under-5 mortality should focus on black women, the younger women, the less educated and those with low household income. / MT2017

A number of mostly informal areas in Nelson Mandela Bay have experienced rapid expansion over the past decade or so. Census data available for these areas is outdated and does not provide enough information for local authorities to accurately plan for tasks such as service delivery management and resource allocation. In this dissertation, a GIS based demographic and Quality of Life study of informal settlements and previously disadvantaged areas within Nelson Mandela Bay is undertaken to address this issue. The study aims to integrate GIS technology into a demographic and Quality of Life survey to significantly improve the collection, analysis, interpretation, display and management of survey data and to provide the accurate and necessary updates required between census collections. Data relating to informal settlements were captured from aerial photographs and satellite imagery and demographic and Quality of Life data were collected from field surveys. The results demonstrated that the use of GIS technology provided more accurate information for demographic variables, including the number of dwellings, dwelling type, size of the population and population dynamics. A specific demographic trend observed through spatial analysis included the identification of backyard shacks predating formal structures in settlements. The analysis and representation of the Quality of Life field survey data in GIS demonstrated how residents' perceptions of problems and issues in their neighbourhoods are better interpreted, understood and managed when analyzed within a spatial context. This research concluded that GIS based demographic and QOL studies are vital for providing accurate social and spatial information for municipalities, particularly in urban environments of developing countries, and for providing the necessary updates to censuses occurring every ten years.