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 Series Title: Employment level, Nonagriculture, unpaid family workers, Female, 16-19 yrs; (Thousands): NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page

 1976 06818.          Link to Series in Level 2 Subscription Site
 1976 07321.          Link to Series in Level 1 Subscription Site
 1976 08223.          Link to Series in Level 0 Subscription Site
 1976 09911.
 1976 10617.
 1976 11617.
 1976 12515.
 1977 01 714.
 1977 02 814.
 1977 03 410.
 1977 04 999.
 1977 05 214.
 1977 06 717.
 1977 07 217.
 1977 08 114.
 1977 09 111.
 1977 10 225.
 1977 11 556.
 1977 12 004.
 1978 01007.
 1978 02669.
 1978 03213.
 1978 04012.
 1978 05821.
 1978 06315.
 1978 07028.
 1978 08720.
 1978 09008.
 1978 10774.
 1978 11998.
 1978 12888.
 1979 01 668.
 1979 02 006.
 1979 03 413.
 1979 04 313.
 1979 05 118.
 1979 06 421.
 1979 07 515.
 1979 08 419.
 1979 09 912.
 1979 10 668.
 1979 11 229.
 1979 12 776.
 1980 01885.
 1980 02778.
 1980 03227.
 1980 04779.
 1980 05887.
 1980 06010.
 1980 07449.
 1980 08117.
 1980 09913.
 1980 10413.
 1980 11999.
 1980 12999.
 1981 01 007.
 1981 02 667.
 1981 03 667.
 1981 04 227.
 1981 05 997.
 1981 06 119.
 1981 07 417.
 1981 08 119.
 1981 09 118.
 1981 10 222.
 1981 11 775.
 1981 12 995.
 1982 01447.
 1982 02112.
 1982 03211.
 1982 04923.
 1982 05420.
 1982 06322.
 1982 07619.
 1982 08626.
 1982 09886.
 1982 10666.
 1982 11884.
 1982 12668.
 1983 01 775.
 1983 02 885.
 1983 03 413.
 1983 04 229.
 1983 05 811.
 1983 06 316.
 1983 07 411.
 1983 08 015.
 1983 09 710.
 1983 10 112.
 1983 11 119.
 1983 12 884.
 1984 01553.
 1984 02003.
 1984 03112.
 1984 04004.
 1984 05667.
 1984 06217.
 1984 07018.
 1984 08006.
 1984 09557.
 1984 10007.
 1984 11885.
 1984 12446.
 1985 01 663.
 1985 02 666.
 1985 03 111.
 1985 04 777.
 1985 05 008.
 1985 06 559.
 1985 07 114.
 1985 08 316.
 1985 09 224.
 1985 10 224.
 1985 11 007.
 1985 12 336.
 1986 01444.
 1986 02443.
 1986 03881.
 1986 04006.
 1986 05112.
 1986 06558.
 1986 07013.
 1986 08669.
 1986 09814.
 1986 10612.
 1986 11003.
 1986 12991.
 1987 01 338.
 1987 02 774.
 1987 03 666.
 1987 04 661.
 1987 05 444.
 1987 06 228.
 1987 07 229.
 1987 08 442.
 1987 09 773.
 1987 10 114.
 1987 11 446.
 1987 12 993.
 1988 01334.
 1988 02881.
 1988 04336.
 1988 06338.
 1988 07771.
 1988 08002.
 1988 09992.
 1988 10441.
 1988 11778.
 1988 12115.
 1989 01 115.
 1989 02 224.
 1989 03 771.
 1989 05 772.
 1989 06 004.
 1989 07 449.
 1989 08 556.
 1989 09 009.
 1989 10 447.
 1989 11 337.
 1989 12 668.
 1990 01449.
 1990 02441.
 1990 03667.
 1990 04889.
 1990 05013.
 1990 06777.
 1990 07443.
 1990 08114.
 1990 09771.
 1990 10992.
 1990 11225.
 1990 12552.
 1991 01 553.
 1991 03 441.
 1991 04 992.
 1991 05 551.
 1991 06 883.
 1991 07 775.
 1991 08 442.
 1991 10 552.
 1991 12 447.
 1992 01664.
 1992 02111.
 1992 03885.
 1992 04225.
 1992 05554.
 1992 06312.
 1992 07555.
 1992 08611.
 1992 09331.
 1992 10662.
 1992 11991.
 1992 12114.
 1993 01 773.
 1993 02 113.
 1993 04 667.
 1993 05 664.
 1993 06 442.
 1993 07 995.
 1993 08 229.
 1993 09 007.
 1993 10 444.
 1993 11 442.
 1993 12 441.
 1994 02004.
 1994 03551.
 1994 04881.
 1994 06882.
 1994 07412.
 1994 08882.
 1994 10334.
 1994 11665.
 1994 12663.
 1995 01 221.
 1995 02 222.
 1995 03 815.
 1995 04 715.
 1995 05 312.
 1995 06 214.
 1995 07 885.
 1995 08 553.
 1995 09 773.
 1995 10 332.
 1995 11 551.
 1995 12 332.
 1996 01332.
 1996 03992.
 1996 04771.
 1996 05337.
 1996 06211.
 1996 07224.
 1996 08337.
 1996 09887.
 1996 10446.
 1996 11775.
 1996 12999.
 1997 01 443.
 1997 02 771.
 1997 03 330.
 1997 04 223.
 1997 05 552.
 1997 06 004.
 1997 07 110.
 1997 08 810.
 1997 09 912.
 1997 10 000.
 1997 11 000.
 1997 12 993.
 1998 04112.
 1998 05994.
 1998 06210.
 1998 07003.
 1998 09003.
 1998 10776.
 1999 01 002.
 1999 02 772.
 1999 03 002.
 1999 05 883.
 1999 06 225.
 1999 07 993.
 1999 08 113.
 1999 12 443.
 2000 01009.
 2000 02889.
 2000 03887.
 2000 04449.
 2000 05006.
 2000 06882.
 2000 07002.
 2000 08116.
 2000 12002.
 2001 01 992.
 2001 02 911.
 2001 03 888.
 2001 04 774.
 2001 06 111.
 2001 07 662.
 2001 08 337.
 2001 09 993.
 2001 10 665.
 2001 11 113.
 2001 12 995.
 2002 02001.
 2002 03112.
 2002 06221.
 2002 07661.
 2002 08001.
 2002 09995.

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 2002 10550.
 2002 11118.
 2002 12884.
 2003 01 442.
 2003 02 882.
 2003 03 332.
 2003 04 111.
 2003 05 887.
 2003 06 116.
 2003 07 003.
 2003 08 996.
 2003 10 771.
 2003 11 884.
 2003 12 004.
 2004 01555.
 2004 04885.
 2004 05558.
 2004 06994.
 2004 07446.
 2004 08443.
 2004 09444.
 2004 10992.
 2004 12114.
 2005 02 210.
 2005 03 773.
 2005 06 666.
 2005 07 006.
 2005 11 883.
 2005 12 000.
 2006 01990.
 2006 05556.
 2006 07660.
 2006 10001.
 2006 11112.
 2006 12666.
 2007 01 119.
 2007 02 447.
 2007 03 229.
 2007 04 992.
 2007 05 991.
 2007 06 112.
 2007 07 777.
 2007 08 002.
 2008 01663.
 2008 03774.
 2008 04556.
 2008 05332.
 2008 06555.

 Series Title: Employment level, Nonagriculture, unpaid family workers, Female, 16-19 yrs; (Thousands): NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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In Association with Amazon.com     A 20,000% Gain in Real Estate by Kevin Kingston.


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