Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 05/06/1990 | 34 |
FEMALE | 4,000,000 | 09/04/1990 | 34 |
MALE | 4,000,000 | 09/02/1986 | 38 |
MALE | 4,000,000 | 01/15/1986 | 39 |
MALE | 4,000,000 | 02/03/1995 | 30 |
FEMALE | 4,000,000 | 06/02/1989 | 35 |
MALE | 4,000,000 | 04/27/1990 | 34 |
MALE | 4,000,000 | 12/18/1976 | 48 |
FEMALE | 4,000,000 | 04/17/1995 | 30 |
FEMALE | 4,000,000 | 07/04/1992 | 32 |
MALE | 4,000,000 | 11/11/1991 | 33 |
FEMALE | 4,000,000 | 05/19/1989 | 35 |
FEMALE | 4,000,000 | 01/12/1991 | 34 |
MALE | 4,000,000 | 01/24/1995 | 30 |
MALE | 4,000,000 | 01/01/1992 | 33 |
MALE | 4,000,000 | 08/26/1987 | 37 |
MALE | 4,000,000 | 11/04/1992 | 32 |
FEMALE | 4,000,000 | 01/10/1993 | 32 |
FEMALE | 4,000,000 | 11/30/1989 | 35 |
MALE | 4,000,000 | 07/19/1984 | 40 |
MALE | 4,000,000 | 06/07/1989 | 35 |
MALE | 4,000,000 | 11/11/1991 | 33 |
FEMALE | 4,000,000 | 08/22/1990 | 34 |
MALE | 4,000,000 | 01/26/1994 | 31 |
MALE | 4,000,000 | 11/14/1987 | 37 |