Abstract

The present study adopts a multidimensional approach to classifying countries in international comparative policy analyses. The article builds a data-based typology founded on future demographic projections of the United Nations. Latent class analysis is used to identify various demographic profiles of countries based on fertility rates, net migration rates, and dependency ratios. There is great value in identifying future changes in population composition, as it enables governments to set policy agenda, prioritize needs, and prepare better for what lies ahead. The paper demonstrates the value of such typology to social services, by analyzing the demographic profiles and estimating their implications for future challenges in educational provision. The contributions of the paper to international comparative policy analysis are discussed.