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Changing Socio-spatial Inequalities: Population Change and the Lived Experience of Inequality in Urban South Africa, 2011-2017
Creator
Lloyd, C, Queen's University Belfast
Study number / PID
854944 (UKDA)
10.5255/UKDA-SN-854944 (DOI)
Data access
Open
Series
Not available
Abstract
The data deposited include:
1. South Africa wards on consistent spatial boundaries for 2001 and 2011 with Index of Multiple deprivation and domain scores (ArcGIS TM shapefile format ward boundaries, attributes in comma separated values (csv) format)
2. Cape Town population grid for 2001: unemployment rates (ArcGIS TM shapefile format grid square boundaries with linked atrributes)
3. Cape Town population grid for 2011: unemployment rates (ArcGIS TM shapefile format grid square boundaries with linked atrributes)
In each case, a metadata file is provided in comma separated values (csv) format.
The project also funded inclusion of a bespoke question on inequalities in the 2017 round of the South African Social Attitudes Survey (SASAS).
The 2017 SASAS data are available through the Human Sciences Research Council: http://www.hsrc.ac.za/en/departments/sasasThis project provides an innovative analysis of how people's lived experiences of socio-economic inequality are shaped by the complex dynamics of urban change in South Africa and how such experiences in turn shape the country's urban social fabric. The collaboration was between Queen's University Belfast (QUB) (the project moved from the University of Liverpool (UoL)), Southern African Social Policy Research Insights (SASPRI) and the Human Sciences Research Council (HSRC) and comprised an inter-disciplinary team (Geography, Demography, Social Policy and Urban Planning) with complementary areas of expertise in relation to socioeconomic inequality and urban population change. The project relates to the themes of diversity, migration and practice.
South Africa continues to be a deeply unequal society with markedly different standards of living across population groups (or race) and spatially. The current evidence base concerning inequality in South Africa is relatively small, and says little about the changing geographies of inequalities, the associated impacts which are felt on the ground as individuals' 'lived...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/11/2018 - 30/08/2019
Country
South Africa, United Kingdom
Time dimension
Not available
Analysis unit
Individual
Household
Geographic Unit
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Geospatial
Data collection mode
Census wards and population grids derived from the 2001 and 2011 Censuses of South Africa.Questions incorporated in the 2017 round of the South African Social Attitudes Survey (SASAS) - a nationally representative, repeated cross-sectional survey.
Funding information
Grant number
ES/N014022/2
Access
Publisher
UK Data Service
Publication year
2021
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.