Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 7,500,000 | 04/16/1984 | 41 |
FEMALE | 7,500,000 | 06/06/1990 | 34 |
MALE | 7,500,000 | 09/06/1989 | 35 |
MALE | 7,500,000 | 05/12/1989 | 35 |
FEMALE | 7,500,000 | 09/08/1979 | 45 |
MALE | 7,500,000 | 04/08/1988 | 37 |
MALE | 7,500,000 | 09/05/1983 | 41 |
FEMALE | 7,500,000 | 12/11/1972 | 52 |
MALE | 7,500,000 | 08/30/1986 | 38 |
MALE | 7,500,000 | 09/19/1988 | 36 |
MALE | 7,500,000 | 04/29/1983 | 41 |
MALE | 7,500,000 | 04/29/1988 | 36 |
FEMALE | 7,500,000 | 04/15/1981 | 44 |
FEMALE | 7,500,000 | 05/28/1974 | 50 |
FEMALE | 7,500,000 | 11/05/1983 | 41 |
MALE | 7,500,000 | 09/20/1981 | 43 |
MALE | 7,500,000 | 04/11/1982 | 43 |
MALE | 7,500,000 | 02/24/1990 | 35 |
FEMALE | 7,500,000 | 01/20/1983 | 42 |
MALE | 7,500,000 | 08/15/1986 | 38 |
MALE | 7,500,000 | 01/13/1985 | 40 |
FEMALE | 7,500,000 | 12/20/1987 | 37 |
MALE | 7,500,000 | 03/27/1982 | 43 |
MALE | 7,500,000 | 08/21/1980 | 44 |
MALE | 7,500,000 | 05/12/1987 | 37 |