Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 12/01/1987 | 37 |
MALE | 4,000,000 | 09/09/1989 | 35 |
MALE | 4,000,000 | 06/30/1986 | 38 |
MALE | 4,000,000 | 02/12/1992 | 33 |
MALE | 4,000,000 | 01/15/1990 | 35 |
FEMALE | 4,000,000 | 08/24/1985 | 39 |
FEMALE | 4,000,000 | 08/18/1988 | 36 |
MALE | 4,000,000 | 04/01/1987 | 38 |
MALE | 4,000,000 | 07/15/1991 | 33 |
MALE | 4,000,000 | 06/08/1993 | 32 |
FEMALE | 4,000,000 | 09/26/1993 | 31 |
MALE | 4,000,000 | 12/06/1982 | 42 |
FEMALE | 4,000,000 | 10/26/1989 | 35 |
FEMALE | 4,000,000 | 10/28/1987 | 37 |
FEMALE | 4,000,000 | 02/02/1988 | 37 |
MALE | 4,000,000 | 12/03/1989 | 35 |
MALE | 4,000,000 | 12/25/1990 | 34 |
MALE | 4,000,000 | 08/03/1993 | 31 |
MALE | 4,000,000 | 11/12/1984 | 40 |
MALE | 4,000,000 | 11/17/1992 | 32 |
MALE | 4,000,000 | 07/15/1988 | 36 |
MALE | 4,000,000 | 07/10/1989 | 35 |
FEMALE | 4,000,000 | 07/18/1989 | 35 |
MALE | 4,000,000 | 12/27/1991 | 33 |
FEMALE | 4,000,000 | 07/28/1993 | 31 |