Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 07/02/1990 | 34 |
MALE | 4,000,000 | 08/20/1982 | 42 |
MALE | 4,000,000 | 09/21/1985 | 39 |
MALE | 4,000,000 | 01/22/1994 | 31 |
FEMALE | 4,000,000 | 11/09/1989 | 35 |
FEMALE | 4,000,000 | 05/20/1997 | 28 |
MALE | 4,000,000 | 04/02/1988 | 37 |
MALE | 4,000,000 | 06/10/1983 | 42 |
MALE | 4,000,000 | 08/04/1989 | 35 |
MALE | 4,000,000 | 12/30/1989 | 35 |
MALE | 4,000,000 | 10/24/1986 | 38 |
MALE | 4,000,000 | 02/16/1994 | 31 |
MALE | 4,000,000 | 07/16/1983 | 41 |
FEMALE | 4,000,000 | 06/28/1998 | 27 |
MALE | 4,000,000 | 01/24/1996 | 29 |
MALE | 4,000,000 | 01/18/1988 | 37 |
MALE | 4,000,000 | 01/28/1984 | 41 |
FEMALE | 4,000,000 | 06/21/1986 | 39 |
MALE | 4,000,000 | 09/01/1988 | 36 |
MALE | 4,000,000 | 09/15/1995 | 29 |
FEMALE | 4,000,000 | 07/13/1995 | 29 |
MALE | 4,000,000 | 08/03/1994 | 30 |
FEMALE | 4,000,000 | 07/10/1985 | 39 |
MALE | 4,000,000 | 03/17/1994 | 31 |
MALE | 4,000,000 | 07/04/1988 | 36 |