Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 11/29/1988 | 36 |
MALE | 4,000,000 | 12/20/1989 | 35 |
MALE | 4,000,000 | 02/05/1988 | 37 |
FEMALE | 4,000,000 | 08/31/1989 | 35 |
MALE | 4,000,000 | 09/03/1986 | 38 |
FEMALE | 4,000,000 | 11/25/1990 | 34 |
FEMALE | 4,000,000 | 12/01/1985 | 39 |
MALE | 4,000,000 | 03/15/1986 | 39 |
FEMALE | 4,000,000 | 11/10/1997 | 27 |
MALE | 4,000,000 | 01/01/1980 | 45 |
MALE | 4,000,000 | 07/01/1979 | 45 |
MALE | 4,000,000 | 05/24/1995 | 30 |
MALE | 4,000,000 | 08/17/1993 | 31 |
FEMALE | 4,000,000 | 04/13/1994 | 31 |
MALE | 4,000,000 | 11/21/1991 | 33 |
MALE | 4,000,000 | 06/28/1996 | 29 |
FEMALE | 4,000,000 | 12/10/1990 | 34 |
MALE | 4,000,000 | 11/05/1992 | 32 |
MALE | 4,000,000 | 01/18/1989 | 36 |
MALE | 4,000,000 | 06/10/1987 | 38 |
MALE | 4,000,000 | 10/01/1990 | 34 |
MALE | 4,000,000 | 10/25/1998 | 26 |
MALE | 4,000,000 | 04/10/1999 | 26 |
FEMALE | 4,000,000 | 12/15/1998 | 26 |
FEMALE | 4,000,000 | 11/22/1992 | 32 |