Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 05/23/1998 | 27 |
FEMALE | 2,000,000 | 11/15/2000 | 24 |
MALE | 2,000,000 | 09/15/1991 | 34 |
FEMALE | 2,000,000 | 01/24/1995 | 30 |
FEMALE | 2,000,000 | 07/10/1995 | 30 |
MALE | 2,000,000 | 01/03/2001 | 24 |
MALE | 2,000,000 | 05/04/1992 | 33 |
FEMALE | 2,000,000 | 09/21/1997 | 27 |
FEMALE | 2,000,000 | 09/13/1995 | 30 |
FEMALE | 2,000,000 | 03/21/1992 | 33 |
FEMALE | 2,000,000 | 04/07/1994 | 31 |
MALE | 2,000,000 | 11/03/1998 | 26 |
FEMALE | 2,000,000 | 02/06/1996 | 29 |
FEMALE | 2,000,000 | 09/30/1993 | 31 |
FEMALE | 2,000,000 | 10/01/1996 | 28 |
FEMALE | 2,000,000 | 12/12/1993 | 31 |
MALE | 2,000,000 | 12/11/1995 | 29 |
MALE | 2,000,000 | 08/31/1995 | 30 |
FEMALE | 2,000,000 | 10/01/1996 | 28 |
MALE | 2,000,000 | 07/03/1995 | 30 |
MALE | 2,000,000 | 04/18/1991 | 34 |
MALE | 2,000,000 | 11/15/1998 | 26 |
MALE | 2,000,000 | 09/07/1993 | 32 |
MALE | 2,000,000 | 12/12/1990 | 34 |
MALE | 2,000,000 | 01/01/1993 | 32 |