Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 07/18/1989 | 36 |
MALE | 2,000,000 | 12/20/1991 | 33 |
MALE | 2,000,000 | 04/23/2000 | 25 |
MALE | 2,000,000 | 02/23/1998 | 27 |
MALE | 2,000,000 | 10/04/1993 | 31 |
MALE | 2,000,000 | 08/14/2000 | 25 |
MALE | 2,000,000 | 06/12/1999 | 26 |
MALE | 2,000,000 | 10/01/1997 | 27 |
FEMALE | 2,000,000 | 10/26/1999 | 25 |
FEMALE | 2,000,000 | 05/25/2001 | 24 |
MALE | 2,000,000 | 01/13/1996 | 29 |
MALE | 2,000,000 | 10/04/1995 | 29 |
MALE | 2,000,000 | 10/14/1989 | 35 |
FEMALE | 2,000,000 | 06/08/1997 | 28 |
FEMALE | 2,000,000 | 05/20/2000 | 25 |
MALE | 2,000,000 | 04/03/1998 | 27 |
FEMALE | 2,000,000 | 03/01/1995 | 30 |
MALE | 2,000,000 | 04/10/1997 | 28 |
FEMALE | 2,000,000 | 08/03/1999 | 26 |
FEMALE | 2,000,000 | 08/27/1999 | 26 |
FEMALE | 2,000,000 | 04/17/1997 | 28 |
FEMALE | 2,000,000 | 06/21/1996 | 29 |
FEMALE | 2,000,000 | 04/23/1996 | 29 |
MALE | 2,000,000 | 06/06/1999 | 26 |
FEMALE | 2,000,000 | 07/11/1998 | 27 |