Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 7,500,000 | 03/19/1990 | 35 |
MALE | 7,500,000 | 06/01/1979 | 45 |
MALE | 7,500,000 | 11/06/1989 | 35 |
MALE | 7,500,000 | 02/26/1985 | 40 |
MALE | 7,500,000 | 12/30/1988 | 36 |
FEMALE | 7,500,000 | 11/21/1987 | 37 |
MALE | 7,500,000 | 08/08/1990 | 34 |
MALE | 7,500,000 | 07/24/1991 | 33 |
FEMALE | 7,500,000 | 08/27/1988 | 36 |
FEMALE | 7,500,000 | 07/16/1992 | 32 |
FEMALE | 7,500,000 | 11/12/1978 | 46 |
MALE | 7,500,000 | 05/08/1986 | 38 |
FEMALE | 7,500,000 | 07/31/1992 | 32 |
FEMALE | 7,500,000 | 07/16/1983 | 41 |
MALE | 7,500,000 | 05/14/1969 | 55 |
MALE | 7,500,000 | 10/22/1983 | 41 |
MALE | 7,500,000 | 05/13/1985 | 39 |
MALE | 7,500,000 | 04/13/1984 | 41 |
MALE | 7,500,000 | 06/11/1991 | 33 |
MALE | 7,500,000 | 05/20/1991 | 33 |
MALE | 7,500,000 | 06/20/1982 | 42 |
MALE | 7,500,000 | 08/15/1985 | 39 |
MALE | 7,500,000 | 04/11/1983 | 42 |
FEMALE | 7,500,000 | 11/19/1985 | 39 |
MALE | 7,500,000 | 10/13/1988 | 36 |