Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 03/03/1986 | 39 |
MALE | 4,000,000 | 08/17/1989 | 35 |
MALE | 4,000,000 | 06/10/1991 | 34 |
MALE | 4,000,000 | 12/22/1995 | 29 |
MALE | 4,000,000 | 01/06/1986 | 39 |
MALE | 4,000,000 | 10/19/1989 | 35 |
MALE | 4,000,000 | 03/27/1991 | 34 |
MALE | 4,000,000 | 07/30/1997 | 27 |
MALE | 4,000,000 | 10/10/1986 | 38 |
MALE | 4,000,000 | 11/22/1982 | 42 |
MALE | 4,000,000 | 03/17/1994 | 31 |
MALE | 4,000,000 | 07/06/1989 | 35 |
FEMALE | 4,000,000 | 04/05/1991 | 34 |
FEMALE | 4,000,000 | 06/12/1994 | 31 |
MALE | 4,000,000 | 05/02/1994 | 31 |
MALE | 4,000,000 | 09/11/1986 | 38 |
MALE | 4,000,000 | 01/21/1993 | 32 |
FEMALE | 4,000,000 | 07/10/1992 | 32 |
MALE | 4,000,000 | 06/18/1994 | 31 |
MALE | 4,000,000 | 04/10/1988 | 37 |
MALE | 4,000,000 | 12/25/1996 | 28 |
FEMALE | 4,000,000 | 05/14/1997 | 28 |
FEMALE | 4,000,000 | 07/11/1995 | 29 |
FEMALE | 4,000,000 | 12/15/1994 | 30 |
MALE | 4,000,000 | 06/07/1990 | 35 |