Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 06/05/1986 | 38 |
FEMALE | 4,000,000 | 07/27/1971 | 53 |
FEMALE | 4,000,000 | 10/26/1990 | 34 |
FEMALE | 4,000,000 | 01/09/1988 | 37 |
FEMALE | 4,000,000 | 02/05/1991 | 34 |
FEMALE | 4,000,000 | 12/21/1991 | 33 |
MALE | 4,000,000 | 09/16/1991 | 33 |
MALE | 4,000,000 | 04/07/1989 | 36 |
MALE | 4,000,000 | 06/20/1991 | 33 |
MALE | 4,000,000 | 03/16/1987 | 38 |
MALE | 4,000,000 | 10/16/1990 | 34 |
MALE | 4,000,000 | 03/04/1989 | 36 |
MALE | 4,000,000 | 04/19/1983 | 42 |
MALE | 4,000,000 | 04/12/1991 | 34 |
MALE | 4,000,000 | 04/22/1989 | 36 |
MALE | 4,000,000 | 09/06/1989 | 35 |
FEMALE | 4,000,000 | 10/08/1988 | 36 |
FEMALE | 4,000,000 | 02/17/1984 | 41 |
FEMALE | 4,000,000 | 06/29/1992 | 32 |
FEMALE | 4,000,000 | 11/26/1993 | 31 |
MALE | 4,000,000 | 02/05/1989 | 36 |
FEMALE | 4,000,000 | 03/30/1992 | 33 |
FEMALE | 4,000,000 | 08/10/1991 | 33 |
MALE | 4,000,000 | 11/05/1979 | 45 |
MALE | 4,000,000 | 01/03/1986 | 39 |