Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 06/15/1989 | 36 |
MALE | 2,000,000 | 04/17/1989 | 36 |
MALE | 2,000,000 | 06/09/1988 | 37 |
MALE | 2,000,000 | 05/18/1991 | 34 |
MALE | 2,000,000 | 06/05/1990 | 35 |
FEMALE | 2,000,000 | 02/02/1994 | 31 |
FEMALE | 2,000,000 | 12/14/1996 | 28 |
MALE | 2,000,000 | 05/27/1995 | 30 |
MALE | 2,000,000 | 07/16/1982 | 42 |
MALE | 2,000,000 | 03/05/1991 | 34 |
FEMALE | 2,000,000 | 04/30/1995 | 30 |
MALE | 2,000,000 | 09/04/1989 | 35 |
MALE | 2,000,000 | 06/15/1994 | 31 |
MALE | 2,000,000 | 10/09/1994 | 30 |
MALE | 2,000,000 | 04/20/1992 | 33 |
MALE | 2,000,000 | 12/01/1992 | 32 |
FEMALE | 2,000,000 | 04/04/1991 | 34 |
MALE | 2,000,000 | 07/07/1994 | 31 |
MALE | 2,000,000 | 06/07/1994 | 31 |
FEMALE | 2,000,000 | 05/30/1994 | 31 |
FEMALE | 2,000,000 | 08/30/1989 | 35 |
MALE | 2,000,000 | 01/25/1992 | 33 |
MALE | 2,000,000 | 04/25/1992 | 33 |
MALE | 2,000,000 | 09/08/1995 | 29 |
MALE | 2,000,000 | 08/30/1990 | 34 |