Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 09/04/1996 | 28 |
FEMALE | 2,000,000 | 03/19/1995 | 30 |
FEMALE | 2,000,000 | 04/27/1994 | 31 |
FEMALE | 2,000,000 | 07/16/1998 | 26 |
FEMALE | 2,000,000 | 09/16/1995 | 29 |
MALE | 2,000,000 | 08/18/1991 | 33 |
MALE | 2,000,000 | 05/06/1997 | 28 |
FEMALE | 2,000,000 | 12/26/1995 | 29 |
MALE | 2,000,000 | 05/28/1999 | 26 |
FEMALE | 2,000,000 | 06/26/1994 | 31 |
MALE | 2,000,000 | 08/09/1994 | 30 |
FEMALE | 2,000,000 | 07/15/1998 | 26 |
MALE | 2,000,000 | 09/06/1997 | 27 |
MALE | 2,000,000 | 07/07/1996 | 29 |
MALE | 2,000,000 | 07/15/1996 | 28 |
MALE | 2,000,000 | 06/09/1996 | 29 |
MALE | 2,000,000 | 04/23/1997 | 28 |
FEMALE | 2,000,000 | 11/28/1998 | 26 |
MALE | 2,000,000 | 04/17/1999 | 26 |
MALE | 2,000,000 | 08/01/1994 | 30 |
MALE | 2,000,000 | 10/17/1996 | 28 |
MALE | 2,000,000 | 04/05/1993 | 32 |
MALE | 2,000,000 | 07/06/2000 | 25 |
MALE | 2,000,000 | 10/29/1996 | 28 |
MALE | 2,000,000 | 01/03/1994 | 31 |