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Stuart Burley and Malcolm Williams, University of Plymouth, Malcolm Brown, Cornwall County Council and Carole Sutton, University of Plymouth
(Project no. 30024)
The study aims to investigate the socio-economic effects of migration into and out of small spatial areas in Cornwall. It will examine the patterns and associations between in and out migration and other factors, demographic and socio-economic, over the period of 1991 to 2001. The research hopes to use LS data as well as other census data and sources of area level economic data to achieve these aims.
Clusters of wards based on similarities of migration and/or socio-economic factors will be used. Grouping individual wards into clusters will create a cluster type, clusters with high levels of in or out migration for example, that can then be examined in terms of the groups' aggregate economic factors.
The first phase of analysis will be to cluster wards based on migration properties. This will utilise LS data to identify the ward clusters that fit certain criteria such as high or low in or out migration between 1991 and 2001. This involves categorising wards into clusters, listing those that fulfil different criteria of migration indicators. Some wards may feature in more than one cluster whereby a ward may be in the high in-migration cluster as well as the high out-migration cluster. In this sense it is possibly not necessary for me to have the exact numbers of in or out migrants of individual wards, but for me just to have the list of wards that have the specified migration properties.
The second phase of the analysis will involve me examining the ward clusters in terms of their socioeconomic profiles, this will be carried out using LS data 1991 to 2001, census data from the 1991 and 2001 census' and selected neighbourhood statistics tables. I will then ask for re-cluster wards into groups by the criteria of migration properties and corresponding socioeconomic profiles, one cluster will consist of wards with high in-migration and a good socioeconomic profile for example. The new clusters will then be examined with aggregated LS individual level data to compare variables of in-migrants, out-migrants and non-migrants. Data from the 1991 and 2001 census' will also be used for this aim.