Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 10/04/1989 | 35 |
MALE | 4,000,000 | 03/17/1990 | 35 |
MALE | 4,000,000 | 11/09/1982 | 42 |
FEMALE | 4,000,000 | 10/09/1992 | 32 |
MALE | 4,000,000 | 01/01/1980 | 45 |
MALE | 4,000,000 | 09/19/1991 | 33 |
MALE | 4,000,000 | 04/14/1987 | 38 |
MALE | 4,000,000 | 02/19/1992 | 33 |
FEMALE | 4,000,000 | 07/06/1993 | 31 |
MALE | 4,000,000 | 03/15/1992 | 33 |
MALE | 4,000,000 | 01/01/1980 | 45 |
FEMALE | 4,000,000 | 11/30/1988 | 36 |
MALE | 4,000,000 | 02/07/1992 | 33 |
FEMALE | 4,000,000 | 09/05/1995 | 29 |
MALE | 4,000,000 | 09/13/1989 | 35 |
MALE | 4,000,000 | 12/01/1991 | 33 |
MALE | 4,000,000 | 04/05/1992 | 33 |
MALE | 4,000,000 | 05/27/1983 | 42 |
FEMALE | 4,000,000 | 10/11/1993 | 31 |
FEMALE | 4,000,000 | 08/29/1996 | 28 |
MALE | 4,000,000 | 11/08/1990 | 34 |
FEMALE | 4,000,000 | 09/15/1989 | 35 |
FEMALE | 4,000,000 | 09/01/1989 | 35 |
MALE | 4,000,000 | 07/02/1994 | 30 |
MALE | 4,000,000 | 06/25/1989 | 36 |