Table 1.
Couple no. | Females | Males | Living area | ||
---|---|---|---|---|---|
Age (yrs) | Highest education | Age (yrs) | Highest education | ||
1 | 28 | Secondary school1 | 27 | Secondary school | Rural area |
2 | 31 | Secondary school | 26 | Secondary school | Rural area |
3 | 25 | Secondary school | 29 | Secondary school | Village |
4 | 33 | Secondary school | 30 | Secondary school | Village |
5 | 31 | University2 | 30 | University | Small town |
6 | 31 | Secondary school | 34 | University | Small town |
7 | 33 | University | 31 | University | Small town |
8 | 29 | University | 35 | University | Small town |
9 | 35 | University | 34 | University | Suburb |
10 | 32 | Secondary school | 31 | Secondary school | Suburb |
11 | 35 | University | 39 | University | Suburb |
12 | 32 | Secondary school | 46 | Secondary school | Suburb |
Occupations are listed in alphabetical order to secure informant confidentiality.
Female: Administrator, banking adviser, granted sick leave, hair dresser, industrial worker, manual worker, nurse (n = 2), office employee, pre-school teacher, primary school teacher and university project assistant.
Male: Accountant consultant, computer engineer, consultant worker, finance manager, high school teacher, industrial purchaser, industrial worker (n = 2), manager, programmer and salesman.
112 years of schooling
215-17 years of schooling