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of upward mobility for themselves and their children. To examine if this is indeed the case, I draw upon the panel
component of the India Human Development Survey (IHDS 2005 and 2012) for my analysis.

400 Comparing Fertility Patterns of Migrant and Non-Migrant Women in Indonesia

Rina Herartri, Wisnu Fadila
BKKBN, Jakarta, Indonesia

Categories

5. Population Mobility (Internal and International Migration, including Refugees) and Urbanization

Abstract

Internal migration plays an important role in shaping demographic as well as social-economic structures of many
regions in Indonesia. This study aims to examine the contraceptive use and fertility patterns among migrant and
non-migrant women in Indonesia. This study uses the results of the 2017 Indonesia Demographic and Health
Survey with a nationally representative sample of 35,235 currently married women age 15-49 (11,901 migrants and
23,334 non-migrants). Multivariate linear regression analysis is used to explore the factors related to fertility among
the two groups. Contrary to expectation, the level of contraceptive use among migrant women is slightly lower than
that of non-migrant, i.e. 54 and 59 percent respectively. However, the number of children ever born for all age
groups is lower among migrant women than that of non-migrant. For women age 45-49, the number of children
ever born for migrant and non-migrant women is 2.9 and 3.1 children per woman respectively. Multivariate analysis
show the same results for the two groups. The relationships between economic status, age at first marriage, age
first birth, and fertility are significant, while the relationships between educational level, residence (rural or urban),
and fertility are not significant.

PS 3.4 Indonesian Session I

4:30 - 6:00pm Tuesday, 3rd August, 2021
Presentation Type LIVE Session
Moderator: Tan Joo Ean , Umi Listyaningsih

1560 Bridging the communication gap between adolescents and parents in the
digital age: The experiences of young people in Indonesian cities

Augustina Situmorang, Zainal Fatoni
Research Center for Population, Indonesian Institute of Sciences (LIPI), Jakarta, Indonesia

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