Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 07/21/1994 | 30 |
MALE | 4,000,000 | 02/27/1990 | 35 |
FEMALE | 4,000,000 | 01/02/1988 | 37 |
FEMALE | 4,000,000 | 11/23/1993 | 31 |
MALE | 4,000,000 | 05/03/1989 | 36 |
FEMALE | 4,000,000 | 12/14/1992 | 32 |
FEMALE | 4,000,000 | 12/15/1981 | 43 |
MALE | 4,000,000 | 05/21/1987 | 38 |
MALE | 4,000,000 | 12/22/1990 | 34 |
MALE | 4,000,000 | 01/26/1986 | 39 |
MALE | 4,000,000 | 04/20/1995 | 30 |
FEMALE | 4,000,000 | 12/27/1993 | 31 |
FEMALE | 4,000,000 | 05/13/1991 | 34 |
MALE | 4,000,000 | 01/23/1983 | 42 |
FEMALE | 4,000,000 | 05/07/1995 | 30 |
MALE | 4,000,000 | 08/22/1984 | 40 |
MALE | 4,000,000 | 07/13/1995 | 29 |
MALE | 4,000,000 | 05/20/1984 | 41 |
FEMALE | 4,000,000 | 09/19/1989 | 35 |
FEMALE | 4,000,000 | 10/12/1996 | 28 |
FEMALE | 4,000,000 | 11/05/1997 | 27 |
MALE | 4,000,000 | 01/05/1989 | 36 |
MALE | 4,000,000 | 07/17/1992 | 32 |
MALE | 4,000,000 | 02/27/1988 | 37 |
MALE | 4,000,000 | 06/21/1982 | 43 |