Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 06/08/1991 | 34 |
FEMALE | 2,000,000 | 06/03/1997 | 28 |
FEMALE | 2,000,000 | 09/25/2000 | 24 |
FEMALE | 2,000,000 | 09/21/1999 | 26 |
FEMALE | 2,000,000 | 05/14/1996 | 29 |
MALE | 2,000,000 | 01/10/1986 | 39 |
MALE | 2,000,000 | 03/26/1999 | 26 |
MALE | 2,000,000 | 06/14/1991 | 34 |
FEMALE | 2,000,000 | 08/28/1998 | 27 |
FEMALE | 2,000,000 | 11/02/1986 | 38 |
FEMALE | 2,000,000 | 04/30/1990 | 35 |
MALE | 2,000,000 | 02/04/1997 | 28 |
MALE | 2,000,000 | 01/15/1995 | 30 |
MALE | 2,000,000 | 10/18/1998 | 26 |
FEMALE | 2,000,000 | 10/06/1996 | 28 |
MALE | 2,000,000 | 03/07/1993 | 32 |
MALE | 2,000,000 | 01/05/1982 | 43 |
FEMALE | 2,000,000 | 05/14/1994 | 31 |
MALE | 2,000,000 | 03/16/1995 | 30 |
FEMALE | 2,000,000 | 05/08/1996 | 29 |
MALE | 2,000,000 | 05/30/1996 | 29 |
FEMALE | 2,000,000 | 10/04/1999 | 25 |
FEMALE | 2,000,000 | 11/19/1998 | 26 |
FEMALE | 2,000,000 | 04/11/2000 | 25 |
MALE | 2,000,000 | 09/24/1990 | 34 |