One of the significant results of globalization is the competition for human capital. On one hand, nations are investing more and more in their educational systems to create their own human capital; on the other hand, these nations are struggling to effectively utilize their existing human resources. Additionally, there is a massive wave of immigration to countries like the U. S., Australia, New Zealand, and Canada that have been attracting a lot of highly skilled immigrants from countries like China and India. It is noticeable that more and more Chinese students both from mainland China and Taiwan go back to their homelands after completing their overseas educations. Therefore it is important to identify the factors associated with this wave of immigration. This research used correlation and regression analyses to identify the extent to which the population ratio, the ratio of purchasing power parity, the ratio of growth rate, the ratio of GDP per capita between the U. S and the source countries, as well as the dominant language and the form of government of each selected country which are associated with global immigration. Furthermore, this research examined how they simultaneously interact with the immigration number. Results of statistical research produced following conclusions. The population, the purchasing power parity, the GDP per capita, the dominant language, and the form of government are significantly associated with immigration decision, and subsequently, are accurate predictors for citizens' intention to immigrate. Recommendations for practices include advice for policy makers, educators, and business officers.