Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 09/23/1993 | 31 |
FEMALE | 2,000,000 | 08/03/1999 | 26 |
MALE | 2,000,000 | 01/16/1993 | 32 |
FEMALE | 2,000,000 | 01/14/1995 | 30 |
FEMALE | 2,000,000 | 05/02/1999 | 26 |
MALE | 2,000,000 | 04/17/1998 | 27 |
FEMALE | 2,000,000 | 10/14/2000 | 24 |
MALE | 2,000,000 | 05/21/1994 | 31 |
FEMALE | 2,000,000 | 03/22/1998 | 27 |
MALE | 2,000,000 | 06/07/1992 | 33 |
MALE | 2,000,000 | 11/28/1992 | 32 |
MALE | 2,000,000 | 01/07/1992 | 33 |
FEMALE | 2,000,000 | 12/29/1995 | 29 |
FEMALE | 2,000,000 | 02/25/2001 | 24 |
FEMALE | 2,000,000 | 01/12/1999 | 26 |
MALE | 2,000,000 | 05/29/1993 | 32 |
FEMALE | 2,000,000 | 08/02/1997 | 28 |
FEMALE | 2,000,000 | 11/14/1996 | 28 |
FEMALE | 2,000,000 | 08/16/1995 | 30 |
MALE | 2,000,000 | 07/25/1990 | 35 |
FEMALE | 2,000,000 | 09/30/1993 | 31 |
FEMALE | 2,000,000 | 05/07/1997 | 28 |
MALE | 2,000,000 | 09/04/1998 | 27 |
FEMALE | 2,000,000 | 12/22/2000 | 24 |
FEMALE | 2,000,000 | 12/30/1991 | 33 |