Skip to main content
. 2018 Mar 27;18:407. doi: 10.1186/s12889-018-5313-0

Table 2.

Summary statistics for child marriage outcome and background characteristics among females age 20–24 years, from the 2012 Indonesian Demographic and Health Survey among females aged 15–24, 2012 Indonesian Adolescent Reproductive Health Survey

DHS (2012) ARH (2012)
Outcomes Mean (proportion) Standard error Mean (proportion) Standard error
Ever married or cohabited 0.617 (0.014) n/a n/a
Married or cohabited age < 18 years 0.170 (0.008) n/a n/a
Married or cohabited age < 16 years 0.055 (0.005) n/a n/a
Martial-age preferences (years) n/a n/a 25.576 (0.039)
Attitudes approving child marriage (< 18 years) n/a n/a 0.053 (0.004)
Background characteristics
Age splines (DHS/ARH samples)
 Age = 20 /15 years 0.198 (0.007) 0.116 (0.005)
 Age = 21 /16 years 0.195 (0.007) 0.137 (0.005)
 Age = 22 /17 years 0.201 (0.008) 0.130 (0.005)
 Age = 23 /18 years 0.211 (0.008) 0.114 (0.005)
 Age = 24 /19 years 0.194 (0.008) 0.107 (0.005)
 Age = * /20 years n/a n/a 0.100 (0.004)
 Age = * />  20 years n/a n/a 0.296 (0.007)
Education
 No education 0.014 (0.002) 0.002 (0.001)
 Some or complete primary 0.204 (0.010) 0.115 (0.008)
 Some or complete secondary 0.563 (0.012) 0.499 (0.009)
  Secondary 0.219 (0.012) 0.384 (0.010)
Total number of siblings 3.385 (0.053) n/a n/a
Household wealth
 Wealth quintile 1 0.172 (0.009) 0.146 (0.008)
 Wealth quintile 2 0.197 (0.010) 0.196 (0.008)
 Wealth quintile 3 0.213 (0.010) 0.224 (0.008)
 Wealth quintile 4 0.213 (0.010) 0.211 (0.009)
 Wealth quintile 5 0.205 (0.012) 0.224 (0.011)
Exposure to media
 Listens to radio at least once a week 0.229 (0.008) 0.311 (0.009)
 Reads newspaper or magazine at least once a week 0.150 (0.001) 0.206 (0.009)
 Watches TV at least once a week 0.864 (0.007) 0.865 (0.007)
Rural 0.465 (0.019) 0.421 (0.018)
Sample size 6578 8779

Notes: Weighted by primary sampling unit for national representativeness. All indicators with the exception of marital-age preferences and total number of siblings are binary variables and expressed as a proportion of the sample ranging from 0 to 1. Wealth quintiles are pre-computed using principle component analysis and a range of household-level durable asset ownership and housing quality indicators