Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 09/13/1994 | 30 |
FEMALE | 2,000,000 | 01/14/1994 | 31 |
MALE | 2,000,000 | 10/03/1995 | 29 |
FEMALE | 2,000,000 | 01/10/1993 | 32 |
MALE | 2,000,000 | 11/16/1988 | 36 |
MALE | 2,000,000 | 05/29/1994 | 31 |
FEMALE | 2,000,000 | 10/03/1994 | 30 |
MALE | 2,000,000 | 10/30/1993 | 31 |
MALE | 2,000,000 | 12/25/1992 | 32 |
FEMALE | 2,000,000 | 10/21/1992 | 32 |
FEMALE | 2,000,000 | 05/31/1995 | 30 |
MALE | 2,000,000 | 11/26/1992 | 32 |
FEMALE | 2,000,000 | 04/24/1995 | 30 |
MALE | 2,000,000 | 06/18/1990 | 35 |
MALE | 2,000,000 | 06/07/1995 | 30 |
MALE | 2,000,000 | 03/02/1993 | 32 |
MALE | 2,000,000 | 07/12/1994 | 30 |
MALE | 2,000,000 | 10/23/1997 | 27 |
MALE | 2,000,000 | 07/21/1998 | 26 |
FEMALE | 2,000,000 | 01/04/1992 | 33 |
MALE | 2,000,000 | 05/10/1994 | 31 |
FEMALE | 2,000,000 | 06/12/1997 | 28 |
MALE | 2,000,000 | 10/29/1994 | 30 |
MALE | 2,000,000 | 11/03/1993 | 31 |
FEMALE | 2,000,000 | 07/17/1997 | 27 |