Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 07/28/1988 | 37 |
MALE | 2,000,000 | 02/12/1997 | 28 |
MALE | 2,000,000 | 11/18/1992 | 32 |
FEMALE | 2,000,000 | 03/12/1995 | 30 |
FEMALE | 2,000,000 | 01/27/1997 | 28 |
FEMALE | 2,000,000 | 02/02/1999 | 26 |
FEMALE | 2,000,000 | 02/21/1998 | 27 |
FEMALE | 2,000,000 | 06/20/1997 | 28 |
FEMALE | 2,000,000 | 12/24/1998 | 26 |
MALE | 2,000,000 | 11/29/1994 | 30 |
MALE | 2,000,000 | 05/04/1993 | 32 |
MALE | 2,000,000 | 06/27/1991 | 34 |
MALE | 2,000,000 | 10/13/1992 | 32 |
MALE | 2,000,000 | 05/18/1994 | 31 |
FEMALE | 2,000,000 | 09/23/1995 | 29 |
FEMALE | 2,000,000 | 11/30/1993 | 31 |
MALE | 2,000,000 | 06/01/1988 | 37 |
MALE | 2,000,000 | 05/08/1994 | 31 |
FEMALE | 2,000,000 | 02/19/1997 | 28 |
MALE | 2,000,000 | 11/13/1994 | 30 |
MALE | 2,000,000 | 05/05/1997 | 28 |
FEMALE | 2,000,000 | 03/25/1997 | 28 |
FEMALE | 2,000,000 | 05/25/1994 | 31 |
MALE | 2,000,000 | 01/13/1997 | 28 |
FEMALE | 2,000,000 | 10/04/1995 | 29 |