Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 10/31/1992 | 32 |
FEMALE | 4,000,000 | 11/30/1989 | 35 |
MALE | 4,000,000 | 03/14/1995 | 30 |
FEMALE | 4,000,000 | 12/01/1991 | 33 |
MALE | 4,000,000 | 09/04/1991 | 33 |
FEMALE | 4,000,000 | 07/19/1983 | 41 |
MALE | 4,000,000 | 12/10/1993 | 31 |
FEMALE | 4,000,000 | 10/26/1993 | 31 |
MALE | 4,000,000 | 12/24/1987 | 37 |
MALE | 4,000,000 | 05/23/1985 | 40 |
MALE | 4,000,000 | 05/28/1990 | 35 |
MALE | 4,000,000 | 06/19/1991 | 34 |
FEMALE | 4,000,000 | 06/17/1982 | 43 |
MALE | 4,000,000 | 02/24/1989 | 36 |
FEMALE | 4,000,000 | 03/08/1986 | 39 |
MALE | 4,000,000 | 05/11/1985 | 40 |
MALE | 4,000,000 | 11/10/1987 | 37 |
FEMALE | 4,000,000 | 11/26/1995 | 29 |
MALE | 4,000,000 | 03/12/1989 | 36 |
FEMALE | 4,000,000 | 04/08/1986 | 39 |
MALE | 4,000,000 | 11/14/1986 | 38 |
MALE | 4,000,000 | 07/14/1991 | 33 |
FEMALE | 4,000,000 | 01/15/1988 | 37 |
FEMALE | 4,000,000 | 12/11/1995 | 29 |
FEMALE | 4,000,000 | 12/02/1986 | 38 |