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Using election registration data to measure migration trends in South Africa

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dc.contributor.author Maritz, Johan
dc.contributor.author Kok, P
dc.date.accessioned 2016-01-26T06:56:35Z
dc.date.available 2016-01-26T06:56:35Z
dc.date.issued 2014-05
dc.identifier.citation Maritz, J and Kok, P. 2014. Using election registration data to measure migration trends in South Africa. In: Town and Regional Planning, vol. 64, pp 31-42 en_US
dc.identifier.issn 1012-280X
dc.identifier.uri http://hdl.handle.net/10204/8366
dc.description Copyright: 2014 Department of Urban and Regional Planning (UoFS. This journal authorizes the publication of the information herewith contained. Published in Town and Regional Planning, Vol.64, pp 31-42. en_US
dc.description.abstract Migration is critical for policy agendas and government planning as it changes the demographic composition of towns, cities and regions – this requires adjustments to service and infrastructure provision. To develop suitable policy responses, reliable, comparable and timely information is required. Obvious sources of migration data are the national census and household and labour surveys. Socio-economic data have not dealt well with migration. A recent CSIR research project, Spatial and Temporal Evidence for Planning in South Africa1 (StepSA), explored the use of voter registration information as an alternative source of migration data. Anonymised voter registration data were provided by the Independent Electoral Commission of South Africa for several consecutive elections covering a 12-year period. The data, once spatialised (and related to a single set of voting districts), could then be processed to extract movement trends between different election periods. This article describes the process applied and the initial analyses conducted. en_US
dc.language.iso en en_US
dc.publisher Department of Urban and Regional Planning (UoFS) en_US
dc.relation.ispartofseries Worklist;14692
dc.subject Migration en_US
dc.subject Demographic depositions en_US
dc.subject Spatial planning en_US
dc.subject Socio-economic data en_US
dc.title Using election registration data to measure migration trends in South Africa en_US
dc.type Article en_US
dc.identifier.apacitation Maritz, J., & Kok, P. (2014). Using election registration data to measure migration trends in South Africa. http://hdl.handle.net/10204/8366 en_ZA
dc.identifier.chicagocitation Maritz, Johan, and P Kok "Using election registration data to measure migration trends in South Africa." (2014) http://hdl.handle.net/10204/8366 en_ZA
dc.identifier.vancouvercitation Maritz J, Kok P. Using election registration data to measure migration trends in South Africa. 2014; http://hdl.handle.net/10204/8366. en_ZA
dc.identifier.ris TY - Article AU - Maritz, Johan AU - Kok, P AB - Migration is critical for policy agendas and government planning as it changes the demographic composition of towns, cities and regions – this requires adjustments to service and infrastructure provision. To develop suitable policy responses, reliable, comparable and timely information is required. Obvious sources of migration data are the national census and household and labour surveys. Socio-economic data have not dealt well with migration. A recent CSIR research project, Spatial and Temporal Evidence for Planning in South Africa1 (StepSA), explored the use of voter registration information as an alternative source of migration data. Anonymised voter registration data were provided by the Independent Electoral Commission of South Africa for several consecutive elections covering a 12-year period. The data, once spatialised (and related to a single set of voting districts), could then be processed to extract movement trends between different election periods. This article describes the process applied and the initial analyses conducted. DA - 2014-05 DB - ResearchSpace DP - CSIR KW - Migration KW - Demographic depositions KW - Spatial planning KW - Socio-economic data LK - https://researchspace.csir.co.za PY - 2014 SM - 1012-280X T1 - Using election registration data to measure migration trends in South Africa TI - Using election registration data to measure migration trends in South Africa UR - http://hdl.handle.net/10204/8366 ER - en_ZA


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