Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 12/05/1993 | 31 |
MALE | 4,000,000 | 01/05/1990 | 35 |
MALE | 4,000,000 | 10/23/1992 | 32 |
MALE | 4,000,000 | 03/22/1989 | 36 |
FEMALE | 4,000,000 | 07/21/1992 | 32 |
FEMALE | 4,000,000 | 11/25/1994 | 30 |
MALE | 4,000,000 | 07/10/1988 | 36 |
FEMALE | 4,000,000 | 05/13/1992 | 33 |
FEMALE | 4,000,000 | 12/15/1986 | 38 |
MALE | 4,000,000 | 02/28/1971 | 54 |
MALE | 4,000,000 | 05/18/1994 | 31 |
MALE | 4,000,000 | 08/25/1994 | 30 |
MALE | 4,000,000 | 01/30/1994 | 31 |
MALE | 4,000,000 | 06/02/1997 | 28 |
FEMALE | 4,000,000 | 02/22/1992 | 33 |
FEMALE | 4,000,000 | 08/25/1996 | 28 |
MALE | 4,000,000 | 12/21/1991 | 33 |
FEMALE | 4,000,000 | 08/29/1998 | 26 |
MALE | 4,000,000 | 05/02/1990 | 35 |
MALE | 4,000,000 | 12/05/1990 | 34 |
MALE | 4,000,000 | 02/15/1990 | 35 |
MALE | 4,000,000 | 07/07/1993 | 31 |
MALE | 4,000,000 | 09/09/1992 | 32 |
MALE | 4,000,000 | 07/09/1991 | 33 |
MALE | 4,000,000 | 01/14/1990 | 35 |