Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 06/27/1997 | 28 |
MALE | 2,000,000 | 08/19/1998 | 27 |
FEMALE | 2,000,000 | 10/05/1995 | 29 |
FEMALE | 2,000,000 | 08/27/1992 | 33 |
MALE | 2,000,000 | 06/04/1999 | 26 |
FEMALE | 2,000,000 | 05/08/1996 | 29 |
MALE | 2,000,000 | 01/01/2000 | 25 |
FEMALE | 2,000,000 | 04/30/1992 | 33 |
FEMALE | 2,000,000 | 06/11/1996 | 29 |
MALE | 2,000,000 | 08/01/1997 | 28 |
FEMALE | 2,000,000 | 08/30/2000 | 25 |
MALE | 2,000,000 | 06/10/1992 | 33 |
MALE | 2,000,000 | 06/08/1998 | 27 |
FEMALE | 2,000,000 | 12/26/1997 | 27 |
FEMALE | 2,000,000 | 07/24/1994 | 31 |
FEMALE | 2,000,000 | 12/24/1985 | 39 |
MALE | 2,000,000 | 07/09/1993 | 32 |
FEMALE | 2,000,000 | 06/28/1994 | 31 |
FEMALE | 2,000,000 | 11/07/1995 | 29 |
MALE | 2,000,000 | 12/30/1999 | 25 |
MALE | 2,000,000 | 08/10/2000 | 25 |
MALE | 2,000,000 | 09/06/1993 | 32 |
MALE | 2,000,000 | 07/02/1996 | 29 |
MALE | 2,000,000 | 02/01/1994 | 31 |
FEMALE | 2,000,000 | 02/10/1993 | 32 |