Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 08/24/1989 | 35 |
FEMALE | 4,000,000 | 03/09/1994 | 31 |
FEMALE | 4,000,000 | 11/12/1993 | 31 |
MALE | 4,000,000 | 01/29/1983 | 42 |
MALE | 4,000,000 | 04/19/1991 | 34 |
MALE | 4,000,000 | 02/26/1988 | 37 |
FEMALE | 4,000,000 | 11/09/1992 | 32 |
MALE | 4,000,000 | 07/20/1990 | 34 |
MALE | 4,000,000 | 06/10/1989 | 36 |
MALE | 4,000,000 | 05/20/1995 | 30 |
MALE | 4,000,000 | 10/02/1983 | 41 |
MALE | 4,000,000 | 08/26/1988 | 36 |
MALE | 4,000,000 | 02/03/1995 | 30 |
FEMALE | 4,000,000 | 02/22/1989 | 36 |
MALE | 4,000,000 | 06/09/1987 | 38 |
FEMALE | 4,000,000 | 01/15/1987 | 38 |
MALE | 4,000,000 | 08/31/1989 | 35 |
MALE | 4,000,000 | 03/03/1987 | 38 |
MALE | 4,000,000 | 10/30/1993 | 31 |
MALE | 4,000,000 | 01/28/1986 | 39 |
MALE | 4,000,000 | 01/11/1987 | 38 |
MALE | 4,000,000 | 07/20/1986 | 38 |
FEMALE | 4,000,000 | 05/10/1982 | 43 |
MALE | 4,000,000 | 06/25/1990 | 35 |
FEMALE | 4,000,000 | 02/07/1986 | 39 |