Ziyue Huang, Shanghai University
Direct and systematical comparative studies on rural-urban migration between countries is generally lacking. The research purpose is to supplement this research field by studying individual and country level factors for a wide range of countries, based on the analysis of millions of census records. The selection of IPUMSI (the Integrated Public Use Microdata Series International) census samples comprises 28 census files from 22 countries, including 4 African countries, 8 Asian countries, 3 European countries, and 7 countries in Latin America. This study fitted a series of Poisson and Quasi-Poisson models to estimate the in-migration rates of migrants who lived in urban and rural areas prior to migration separately, then making comparisons between urban-to-urban and urban-to-rural migration, as well as, between rural-to-rural and rural-to- urban migration. Results show that the rates of rural-to-rural migration is higher than that of rural-to-urban migration, and the rates of urban-to-urban migration is higher than that of urban-to-rural migration. Immigrants from rural areas show younger migration pattern. The rate of female migration is higher than that of male migration in either migration pattern. Migration rates of immigrants from urban increase with education level, while migration rates of immigrants from rural decrease with education level.
Keywords: Cross-country comparative analyses, Harmonized data sets, Internal migration, Data visualisation
Presented in Session 45. Migration: Diversity of contexts