Aging & Society: Eighth Interdisciplinary Conference

Abstract

Demographic aging and immigration have an impact on the age and ethnic composition of the national population. This study utilizes the migration record of the Indonesia National Socio-Economic Survey 2016 data. Most of the migrants are women and less educated. It can be concluded that less-educated older people tend to migrate more than the well-educated ones. More than fifty percent of migrants do not have any income security. In other words, they only depend on the transfer from their family as well as social assurance from the government. The highest percentage of migrants moved because of their family. The regression model contained individual and contextual level factors. The results of this model indicate that population density, percentage of elderly family builder in each province, marital status, the highest educational attainment, and region classification are important predictors of elderly decisions to migrate. These findings have important policy implications. In order to address regional disparities in elderly decisions to migrate in Indonesia, it is important to look beyond individual-level attributes. Contextual characteristics of the community must also be addressed.