Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 10/05/1999 | 25 |
MALE | 2,000,000 | 06/08/1999 | 26 |
MALE | 2,000,000 | 05/10/1994 | 31 |
MALE | 2,000,000 | 09/02/1990 | 34 |
FEMALE | 2,000,000 | 08/10/1995 | 29 |
FEMALE | 2,000,000 | 04/10/1989 | 36 |
FEMALE | 2,000,000 | 01/29/1994 | 31 |
FEMALE | 2,000,000 | 05/19/1994 | 31 |
FEMALE | 2,000,000 | 08/28/1998 | 26 |
MALE | 2,000,000 | 11/14/1994 | 30 |
FEMALE | 2,000,000 | 09/09/1988 | 36 |
FEMALE | 2,000,000 | 12/12/1996 | 28 |
FEMALE | 2,000,000 | 05/09/1995 | 30 |
MALE | 2,000,000 | 11/18/1990 | 34 |
FEMALE | 2,000,000 | 12/27/1998 | 26 |
FEMALE | 2,000,000 | 06/04/1998 | 27 |
FEMALE | 2,000,000 | 03/16/1998 | 27 |
FEMALE | 2,000,000 | 03/18/1998 | 27 |
FEMALE | 2,000,000 | 03/03/1997 | 28 |
MALE | 2,000,000 | 06/26/1993 | 32 |
MALE | 2,000,000 | 04/27/1993 | 32 |
MALE | 2,000,000 | 10/09/1998 | 26 |
MALE | 2,000,000 | 07/19/1994 | 30 |
MALE | 2,000,000 | 10/24/1991 | 33 |
MALE | 2,000,000 | 10/11/1997 | 27 |