Abstract
With moving of the main of industrial structure from primary industry to secondary and tertiary industries, population concentration to large metropolitans is being accelerated. Korean government executes a plan to rearrange industries at undeveloped regions. This industry rearrange plan will change the structure of industry in each region, and therefore, age structure in each region will also be changed. Accordingly, it is needed to expect the age structure of population which is changed with change in local industrial structure and to utilize the expected data for the plan and strategy of population allocation. In this study relationship between industrial structure and age structure and the influence of each industry on age structure are quantified. Canonical Correlation Analysis, which is well proven statistical technique for estimating correlation between two continuous multivariate data sets, is applied here. Regions were classified as 5 metropolitan regions, 4 urban areas, and 2 rural areas in the whole country. As a result, industrial structure and age structure showed a very high relationship with 0.99 of Canonical Correlation Coefficient and the regions were different with respect to the influence of each industry on each age group.