Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 7,500,000 | 05/04/1989 | 35 |
MALE | 7,500,000 | 09/18/1983 | 41 |
FEMALE | 7,500,000 | 09/13/1982 | 42 |
FEMALE | 7,500,000 | 07/09/1991 | 33 |
MALE | 7,500,000 | 07/21/1982 | 42 |
MALE | 7,500,000 | 09/02/1989 | 35 |
MALE | 7,500,000 | 03/22/1991 | 34 |
MALE | 7,500,000 | 08/23/1978 | 46 |
MALE | 7,500,000 | 05/12/1983 | 41 |
MALE | 7,500,000 | 08/25/1989 | 35 |
MALE | 7,500,000 | 07/25/1989 | 35 |
MALE | 7,500,000 | 09/25/1982 | 42 |
MALE | 7,500,000 | 11/15/1987 | 37 |
MALE | 7,500,000 | 12/20/1983 | 41 |
FEMALE | 7,500,000 | 08/13/1987 | 37 |
MALE | 7,500,000 | 03/18/1989 | 36 |
MALE | 7,500,000 | 04/08/1989 | 36 |
MALE | 7,500,000 | 02/05/1991 | 34 |
FEMALE | 7,500,000 | 12/22/1989 | 35 |
MALE | 7,500,000 | 08/23/1984 | 40 |
MALE | 7,500,000 | 10/10/1985 | 39 |
MALE | 7,500,000 | 10/08/1983 | 41 |
FEMALE | 7,500,000 | 08/17/1994 | 30 |
FEMALE | 7,500,000 | 08/29/1986 | 38 |
MALE | 7,500,000 | 03/04/1989 | 36 |