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Interaction data are inherently more complex than standard count data – origin and destination. One of the principal purposes of any classification is to simplify complex data to aid understanding.
Interaction data are inherently more complex than standard count data – origin and destination. One of the principal purposes of any classification is to simplify complex data to aid understanding.
District level classifications such as those developed by ONS and Vickers et al. have been created without the use of migration/commuting variables.
Underlying populations in areas may or may not be representative of migrant populations; thus classifying areas separately by their migrants may reveal things not shown in other general purpose classifications.
Notes:
It may be very useful from a policy perspective to know, for example, if an area is particularly prone to receiving relatively high numbers of elderly in-migrants or losing high numbers of skilled workers.