Series Title: Employment level, Agriculture and related industries, unpaid family workers, Male, 18-19 yrs; (Thousands): NSA

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 1976 06 3839•          Link to Series in Level 2 Subscription Site
 1976 07 450.          Link to Series in Level 1 Subscription Site
 1976 08 6245•          Link to Series in Level 0 Subscription Site
 1976 09 5429.
 1976 10 4234.
 1976 11 9422.
 1976 12 7927.
 1977 01  9435.
 1977 02  1916.
 1977 03  9016.
 1977 04  330•
 1977 05  3932.
 1977 06  1837•
 1977 07  7144.
 1977 08  4732•
 1977 09  3417•
 1977 10  1616.
 1977 11  4615.
 1977 12  4815.
 1978 01 4617.
 1978 02 1214•
 1978 03 4515•
 1978 04 7115.
 1978 05 7113•
 1978 06 3332•
 1978 07 2637•
 1978 08 226•
 1978 09 2825.
 1978 10 2818.
 1978 11 6918•
 1978 12 5525.
 1979 01  6022.
 1979 02  7323.
 1979 03  8213.
 1979 04  6818.
 1979 05  3719•
 1979 06  6935•
 1979 07  9626.
 1979 08  326•
 1979 09  5220•
 1979 10  4019.
 1979 11  6814•
 1979 12  4814.
 1980 01 2616.
 1980 02 3714•
 1980 03 8019.
 1980 04 1623•
 1980 05 230.
 1980 06 3631•
 1980 07 3727.
 1980 08 4627•
 1980 09 4923•
 1980 10 3722.
 1980 11 7315.
 1980 12 9916•
 1981 01  6215.
 1981 02  6512.
 1981 03  4222•
 1981 04  6419.
 1981 05  5929.
 1981 06  7127•
 1981 07  2825.
 1981 08  5431.
 1981 09  8516•
 1981 10  298.
 1981 11  3715.
 1981 12  714•
 1982 01 922•
 1982 02 4116•
 1982 03 013•
 1982 04 8513•
 1982 05 2518•
 1982 06 3228.
 1982 07 7420•
 1982 08 7620.
 1982 09 5218.
 1982 10 5316•
 1982 11 4019.

 1982 12 7713.
 1983 01  5315.
 1983 02  9513•
 1983 03  8115.
 1983 04  3417.
 1983 05  5721•
 1983 06  536.
 1983 07  6534•
 1983 08  7823•
 1983 09  7214.
 1983 10  3118.
 1983 11  8018•
 1983 12  119•
 1984 01 7115•
 1984 02 2911•
 1984 03 6113•
 1984 04 1811•
 1984 05 5013•
 1984 06 7612.
 1984 07 6914•
 1984 08 7115•
 1984 09 328.
 1984 10 768•
 1984 11 8713•
 1984 12 2511•
 1985 01  6412•
 1985 02  5710.
 1985 03  2613•
 1985 04  7219•
 1985 05  1819•
 1985 06  7417.
 1985 07  2018.
 1985 08  2716.
 1985 09  929•
 1985 10  43•
 1985 11  295•
 1985 12  327.
 1986 01 88•
 1986 02 5014.
 1986 03 3917•
 1986 04 5312.
 1986 05 1313.
 1986 06 4311.
 1986 07 5720•
 1986 08 8017•
 1986 09 798.
 1986 10 3410•
 1986 11 218•
 1986 12 3012.
 1987 01  55•
 1987 02  34.
 1987 03  8814•
 1987 04  4417.
 1987 05  1121•
 1987 06  5219.
 1987 07  4414•
 1987 08  8718.
 1987 09  4512.
 1987 10  1211.
 1987 11  996•
 1987 12  513•
 1988 01 7912•
 1988 02 345.
 1988 03 889.
 1988 04 5115•
 1988 05 1219.
 1988 06 989•
 1988 07 7019.
 1988 08 3014.
 1988 09 645.
 1988 10 75.
 1988 11 305•
 1988 12 522•
 1989 01  848•
 1989 02  904.
 1989 03  778•
 1989 04  95.
 1989 05  437.
 1989 06  011.
 1989 07  479.
 1989 08  1610.
 1989 09  397•
 1989 10  162.
 1989 11  04•
 1989 12  158•
 1990 01 946.
 1990 02 408.
 1990 03 195.
 1990 04 735.
 1990 05 569.
 1990 06 312.
 1990 07 1610.
 1990 08 7813.
 1990 09 967•
 1990 10 566.
 1990 11 247•
 1990 12 494•
 1991 01  116.
 1991 02  796•
 1991 03  310.
 1991 04  268•
 1991 05  257•
 1991 06  7611.
 1991 07  389•
 1991 08  745•
 1991 09  853•
 1991 10  744•
 1991 11  405•
 1991 12  862•
 1992 01 623•
 1992 02 281•
 1992 03 426•
 1992 04 765•
 1992 05 544.
 1992 06 157.
 1992 07 410•
 1992 08 8611.
 1992 09 833•
 1992 10 396•
 1992 11 128•
 1992 12 826•
 1993 01  9611•
 1993 02  305.
 1993 03  7418•
 1993 04  558•
 1993 05  678•
 1993 06  3914.
 1993 07  2715.
 1993 08  2113•
 1993 09  911•
 1993 10  474.
 1993 12  292•
 1994 01 211•
 1994 02 926•
 1994 03 566•
 1994 04 655•
 1994 05 217•
 1994 06 168.
 1994 07 9412•
 1994 08 457.
 1994 09 127.
 1994 10 354.
 1994 11 167.
 1994 12 43.
 1995 01  103.
 1995 02  485.
 1995 03  07•
 1995 04  18•
 1995 05  567•
 1995 06  775.
 1995 07  500•
 1995 08  222.
 1995 09  163.
 1995 10  675•
 1995 11  935.
 1995 12  762.
 1996 01 819.
 1996 02 933•
 1996 03 848•
 1996 04 987•
 1996 05 676.
 1996 06 5112•
 1996 07 111•
 1996 08 4711.
 1996 09 1511.
 1996 10 637•
 1996 11 474.
 1996 12 92.
 1997 01  911.
 1997 02  771.
 1997 03  5110.
 1997 04  928•
 1997 05  874.
 1997 06  647•
 1997 07  679•
 1997 08  3311.
 1997 09  171•
 1997 10  232.
 1997 11  720.
 1997 12  910.
 1998 01 244.
 1998 02 753•
 1998 03 7211•
 1998 04 501•
 1998 05 735•
 1998 06 6813.
 1998 07 934•
 1998 08 2011.
 1998 09 5512.
 1998 10 746.
 1998 11 904.
 1998 12 364•
 1999 02  863•
 1999 03  913.
 1999 04  414.
 1999 05  588.
 1999 06  87.
 1999 07  3912.
 1999 08  4914.
 1999 09  704•
 1999 10  854•
 1999 11  685.
 1999 12  443.
 2000 01 836•
 2000 02 102.
 2000 03 486•
 2000 04 785•
 2000 07 302.
 2000 08 983•
 2000 09 7810•
 2000 10 318.
 2000 11 734.
 2000 12 914•
 2001 03  793.
 2001 04  53•
 2001 07  950.
 2001 08  544•
 2001 10  02•
 2001 11  290.
 2001 12  60.
 2002 01 781.
 2002 04 111.
 2002 05 572•
 2002 06 422•
 2002 07 793•
 2002 08 107.
 2002 09 676•
 2002 10 619•
 2002 11 995•
 2002 12 214.
 2003 03  630•
 2003 04  492•
 2003 05  34•
 2003 06  899.
 2003 07  736•
 2003 08  151.
 2003 09  834.
 2003 10  873•
 2003 11  511•
 2003 12  953.
 2004 02 542.
 2004 03 136•
 2004 04 756.
 2004 05 484.
 2004 06 570.
 2004 07 884•
 2004 08 494•
 2004 09 582.
 2004 10 592.
 2004 11 614.
 2004 12 11•
 2005 01  354•
 2005 02  506.
 2005 03  22•
 2005 04  855•
 2005 05  156.
 2005 06  464•
 2005 07  106.
 2005 08  802•
 2005 09  575.
 2005 10  904•
 2005 11  70.
 2006 01 882•
 2006 03 460.
 2006 04 452•
 2006 05 400.
 2006 06 392•
 2006 07 913•
 2006 08 47•
 2006 11 810•
 2006 12 853•
 2007 03  272.
 2007 04  830•
 2007 05  284.
 2007 06  64•
 2007 07  151.
 2007 08  221.
 2007 09  20•
 2007 10  51•
 2007 12  383•
 2008 01 873•
 2008 02 525•
 2008 03 103.
 2008 04 76.
 2008 05 716•
 2008 06 499•
 2008 07 7510•
 2008 08 561.
 2008 09 870.

Series Title: Employment level, Agriculture and related industries, unpaid family workers, Male, 18-19 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

    A 20,000% Gain in Real Estate by Kevin Kingston.

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