Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 09/05/1989 | 35 |
FEMALE | 4,000,000 | 06/13/1990 | 35 |
MALE | 4,000,000 | 04/05/1978 | 47 |
MALE | 4,000,000 | 01/02/1980 | 45 |
FEMALE | 4,000,000 | 07/13/1989 | 35 |
FEMALE | 4,000,000 | 06/05/1994 | 31 |
MALE | 4,000,000 | 01/24/1992 | 33 |
MALE | 4,000,000 | 08/14/1977 | 47 |
MALE | 4,000,000 | 11/11/1991 | 33 |
MALE | 4,000,000 | 05/31/1988 | 37 |
MALE | 4,000,000 | 03/16/1993 | 32 |
MALE | 4,000,000 | 05/27/1983 | 42 |
FEMALE | 4,000,000 | 05/23/1988 | 37 |
MALE | 4,000,000 | 03/03/1990 | 35 |
MALE | 4,000,000 | 11/26/1990 | 34 |
MALE | 4,000,000 | 01/04/1985 | 40 |
MALE | 4,000,000 | 12/07/1994 | 30 |
MALE | 4,000,000 | 09/07/1988 | 36 |
MALE | 4,000,000 | 08/09/1996 | 28 |
MALE | 4,000,000 | 06/12/1993 | 32 |
FEMALE | 4,000,000 | 04/23/1985 | 40 |
MALE | 4,000,000 | 11/23/1990 | 34 |
MALE | 4,000,000 | 07/19/1994 | 30 |
FEMALE | 4,000,000 | 08/04/1985 | 39 |
MALE | 4,000,000 | 11/13/1992 | 32 |