Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 12/26/1995 | 29 |
MALE | 2,000,000 | 12/13/1994 | 30 |
FEMALE | 2,000,000 | 03/15/1997 | 28 |
MALE | 2,000,000 | 05/06/1993 | 32 |
MALE | 2,000,000 | 08/30/1996 | 28 |
FEMALE | 2,000,000 | 08/14/1998 | 26 |
MALE | 2,000,000 | 05/05/1994 | 31 |
MALE | 2,000,000 | 03/31/1998 | 27 |
FEMALE | 2,000,000 | 07/02/1992 | 33 |
FEMALE | 2,000,000 | 05/26/1989 | 36 |
FEMALE | 2,000,000 | 06/04/1993 | 32 |
FEMALE | 2,000,000 | 05/15/1993 | 32 |
FEMALE | 2,000,000 | 06/16/1995 | 30 |
FEMALE | 2,000,000 | 06/14/1996 | 29 |
FEMALE | 2,000,000 | 10/10/1994 | 30 |
FEMALE | 2,000,000 | 01/19/1995 | 30 |
FEMALE | 2,000,000 | 06/14/1993 | 32 |
MALE | 2,000,000 | 07/15/1993 | 31 |
MALE | 2,000,000 | 09/23/1993 | 31 |
FEMALE | 2,000,000 | 10/06/1996 | 28 |
FEMALE | 2,000,000 | 12/27/1995 | 29 |
MALE | 2,000,000 | 08/07/1992 | 32 |
FEMALE | 2,000,000 | 10/09/1992 | 32 |
FEMALE | 2,000,000 | 08/18/1997 | 27 |
MALE | 2,000,000 | 01/12/1996 | 29 |