Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 10/20/1999 | 25 |
FEMALE | 2,000,000 | 10/03/1996 | 28 |
MALE | 2,000,000 | 08/07/1991 | 34 |
MALE | 2,000,000 | 06/01/1992 | 33 |
MALE | 2,000,000 | 11/19/1999 | 25 |
FEMALE | 2,000,000 | 09/19/1994 | 31 |
MALE | 2,000,000 | 11/06/1998 | 26 |
FEMALE | 2,000,000 | 04/22/1992 | 33 |
MALE | 2,000,000 | 04/12/1994 | 31 |
FEMALE | 2,000,000 | 08/26/1991 | 34 |
MALE | 2,000,000 | 11/27/1992 | 32 |
MALE | 2,000,000 | 01/03/1991 | 34 |
MALE | 2,000,000 | 02/04/1989 | 36 |
MALE | 2,000,000 | 03/22/1990 | 35 |
FEMALE | 2,000,000 | 02/02/1999 | 26 |
FEMALE | 2,000,000 | 06/15/1991 | 34 |
MALE | 2,000,000 | 05/25/1996 | 29 |
FEMALE | 2,000,000 | 04/01/1997 | 28 |
MALE | 2,000,000 | 07/11/1995 | 30 |
MALE | 2,000,000 | 06/05/1989 | 36 |
FEMALE | 2,000,000 | 12/20/1993 | 31 |
MALE | 2,000,000 | 02/29/1996 | 29 |
FEMALE | 2,000,000 | 11/10/1994 | 30 |
MALE | 2,000,000 | 09/19/1991 | 34 |
MALE | 2,000,000 | 11/13/1998 | 26 |