Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 02/22/1994 | 31 |
MALE | 2,000,000 | 11/19/1993 | 31 |
FEMALE | 2,000,000 | 11/22/1997 | 27 |
FEMALE | 2,000,000 | 02/10/1996 | 29 |
FEMALE | 2,000,000 | 01/10/1997 | 28 |
MALE | 2,000,000 | 08/07/1990 | 34 |
FEMALE | 2,000,000 | 04/25/1990 | 35 |
FEMALE | 2,000,000 | 11/26/1993 | 31 |
FEMALE | 2,000,000 | 06/30/1993 | 32 |
MALE | 2,000,000 | 06/24/1997 | 28 |
FEMALE | 2,000,000 | 05/07/1989 | 36 |
MALE | 2,000,000 | 04/25/1999 | 26 |
MALE | 2,000,000 | 04/02/1995 | 30 |
MALE | 2,000,000 | 07/09/1997 | 27 |
MALE | 2,000,000 | 01/05/1987 | 38 |
MALE | 2,000,000 | 08/11/1993 | 31 |
FEMALE | 2,000,000 | 01/31/1996 | 29 |
MALE | 2,000,000 | 03/26/1993 | 32 |
FEMALE | 2,000,000 | 07/26/1994 | 30 |
MALE | 2,000,000 | 11/13/1994 | 30 |
FEMALE | 2,000,000 | 05/16/1993 | 32 |
MALE | 2,000,000 | 12/31/1994 | 30 |
MALE | 2,000,000 | 07/12/1992 | 32 |
FEMALE | 2,000,000 | 10/29/1997 | 27 |
MALE | 2,000,000 | 05/20/1999 | 26 |