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 Series Title: Employment level, Nonagriculture, unpaid family workers, Male, 20-24 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 06 5714.          Link to Series in Level 2 Subscription Site
 1976 07 1118.          Link to Series in Level 1 Subscription Site
 1976 08 328.          Link to Series in Level 0 Subscription Site
 1976 09 9710.
 1976 10 96•
 1976 11 7210.
 1976 12 918•
 1977 01  27•
 1977 02  228•
 1977 03  2612.
 1977 04  4514•
 1977 05  011•
 1977 06  4615•
 1977 07  5318•
 1977 08  714.
 1977 09  3416•
 1977 10  558•
 1977 11  616•
 1977 12  143.
 1978 01 746•
 1978 02 5115•
 1978 03 8116•
 1978 04 298•
 1978 05 1319.
 1978 06 587•
 1978 07 706•
 1978 08 412•
 1978 09 726•
 1978 10 2710•
 1978 11 911•
 1978 12 626•
 1979 01  943•
 1979 02  349•
 1979 03  68.
 1979 04  298.
 1979 05  479.
 1979 06  789.
 1979 07  9113•
 1979 08  79•
 1979 09  289•
 1979 10  865.
 1979 11  214•
 1979 12  825.
 1980 01 5410•
 1980 02 712•
 1980 03 7920.
 1980 04 6812.
 1980 05 6915•
 1980 06 1828.
 1980 07 7021.
 1980 08 322•
 1980 09 4418.
 1980 10 176.
 1980 11 2611•
 1980 12 4910•
 1981 01  7113•
 1981 02  328.
 1981 03  48.
 1981 04  958.
 1981 05  718•
 1981 06  126.
 1981 07  8614.
 1981 08  526.
 1981 09  8618.
 1981 10  3214.
 1981 11  7811.
 1981 12  6011.
 1982 01 8712.
 1982 02 938•
 1982 03 125•
 1982 04 814.
 1982 05 683.
 1982 06 2011.
 1982 07 4412•
 1982 08 313•
 1982 09 4712•
 1982 10 658•
 1982 11 564•
 1982 12 387.
 1983 01  698•
 1983 02  16•
 1983 03  5515.
 1983 04  2510•
 1983 05  38.
 1983 06  307.
 1983 07  7311.
 1983 08  276.
 1983 09  4311.
 1983 10  776.
 1983 11  654.
 1983 12  324.
 1984 01 97.
 1984 02 928.
 1984 03 1410•
 1984 04 5116•
 1984 05 4316.
 1984 06 5022•
 1984 07 2712•
 1984 08 2414.
 1984 09 1713.
 1984 10 537.
 1984 11 3413•
 1984 12 1318•
 1985 01  227•
 1985 02  258.
 1985 03  9314.
 1985 04  610•
 1985 05  809.
 1985 06  1818.
 1985 07  8613•
 1985 08  1613.
 1985 09  346•
 1985 10  53.
 1985 11  189•
 1985 12  8112•
 1986 01 524•
 1986 02 883.
 1986 03 2111•
 1986 04 649•
 1986 05 3012•
 1986 06 9215•
 1986 07 533•
 1986 08 529.
 1986 09 867.
 1986 10 6711•
 1986 11 953.
 1986 12 5810•
 1987 01  656.
 1987 02  905•
 1987 03  5311•
 1987 04  219•
 1987 05  3511•
 1987 06  5912.
 1987 07  5916.
 1987 08  414.
 1987 09  9123.
 1987 10  115•
 1987 11  7015.
 1987 12  939•
 1988 01 529.
 1988 02 666•
 1988 03 678•
 1988 04 314.
 1988 05 627.
 1988 06 3018.
 1988 07 5720•
 1988 08 7011.
 1988 09 915.
 1988 10 923.
 1988 11 724•
 1988 12 581.
 1989 01  315•
 1989 02  784.
 1989 03  685•
 1989 04  555•
 1989 05  38•
 1989 06  398.
 1989 07  271.
 1989 08  7412.
 1989 09  515.
 1989 10  506.
 1989 11  561.
 1989 12  529•
 1990 01 436•
 1990 02 1125•
 1990 03 8611.
 1990 04 528.
 1990 05 7517•
 1990 06 4816•
 1990 07 7312.
 1990 08 639.
 1990 09 6414•
 1990 10 114•
 1990 11 017•
 1990 12 9717.
 1991 01  5618•
 1991 02  7510•
 1991 03  748.
 1991 04  925•
 1991 05  1912•
 1991 06  419•
 1991 07  257•
 1991 08  114.
 1991 10  475•
 1991 11  3520•
 1991 12  1013.
 1992 01 4210•
 1992 02 608•
 1992 03 68.
 1992 04 1213.
 1992 05 978.
 1992 06 123•
 1992 07 309.
 1992 08 3610.
 1992 09 1611•
 1992 10 412•
 1992 11 84.
 1992 12 146.
 1993 01  598.
 1993 02  7310•
 1993 03  6515.
 1993 04  420.
 1993 05  1611•
 1993 06  1510•
 1993 07  5111.
 1993 08  8611.
 1993 09  02.
 1993 10  132•
 1993 11  416•
 1993 12  678.
 1994 01 474•
 1994 02 366.
 1994 03 376.
 1994 04 793.
 1994 05 2210.
 1994 06 7716.
 1994 07 6216.
 1994 08 797.
 1994 09 1214•
 1994 10 565.
 1994 11 692•
 1994 12 483.
 1995 01  291•
 1995 02  163•
 1995 03  322.
 1995 06  934.
 1995 07  125•
 1995 08  284.
 1995 09  511.
 1995 10  450•
 1995 11  240.
 1995 12  854.
 1996 01 5310•
 1996 02 6116.
 1996 03 5311•
 1996 04 611.
 1996 05 8611.
 1996 06 237•
 1996 07 118.
 1996 08 364•
 1996 09 281•
 1996 10 377.
 1996 11 362.
 1996 12 432•
 1997 01  775•
 1997 02  3610.
 1997 03  911.
 1997 04  211•
 1997 05  615.
 1997 06  756•
 1997 07  655.
 1997 08  911.
 1997 09  280.
 1997 10  360•
 1997 11  690•
 1997 12  961•
 1998 01 544.
 1998 02 266.
 1998 03 424.
 1998 04 56.
 1998 05 409•
 1998 06 776•
 1998 07 483.
 1998 08 124•
 1998 10 110.
 1998 11 452.
 1998 12 727•
Create Excel dashboards quickly with Plug-N-Play reports.
 1999 01  847.
 1999 02  765•
 1999 03  9912•
 1999 04  633•
 1999 06  553.
 1999 07  46•
 1999 08  706.
 1999 09  556•
 1999 10  474•
 1999 11  785•
 1999 12  191•
 2000 05 9110•
 2000 06 52•
 2000 07 247.
 2000 08 5611.
 2000 09 6210•
 2000 10 417.
 2000 11 986•
 2000 12 1512.
 2001 01  8411•
 2001 02  395•
 2001 03  7812.
 2001 04  561•
 2001 05  972.
 2001 07  332•
 2001 08  672.
 2001 09  655•
 2001 10  697•
 2001 11  337•
 2001 12  934.
 2002 01 505•
 2002 04 892.
 2002 05 1210•
 2002 06 116.
 2002 07 473•
 2002 08 733•
 2002 10 675.
 2003 02  9810.
 2003 03  1610•
 2003 05  642.
 2003 06  2012.
 2003 07  591•
 2004 02 4010.
 2004 03 276.
 2004 04 195.
 2004 05 214•
 2004 06 312•
 2004 07 526.
 2004 08 3515•
 2004 09 387•
 2004 10 223•
 2004 12 5610•
 2005 01  6611.
 2005 02  9014•
 2005 03  7318.
 2005 04  814.
 2005 06  341•
 2005 07  786•
 2005 08  709•
 2005 09  914•
 2005 10  873.
 2005 11  333•
 2006 03 221•
 2006 04 783•
 2006 05 965.
 2006 06 66.
 2006 07 635.
 2006 09 582•
 2006 10 597•
 2006 11 785.
 2006 12 545.
 2007 01  725.
 2007 02  998•
 2007 03  513•
 2007 04  793•
 2007 06  862•
 2007 07  626•
 2007 09  549•
 2007 10  4823•
 2007 11  915.
 2007 12  211•
 2008 01 401•
 2008 02 969•
 2008 03 38.
 2008 04 7316.
 2008 05 8810•
 2008 06 834•
 2008 07 6315•
 2008 08 4010.
 2008 09 17.

 Series Title: Employment level, Nonagriculture, unpaid family workers, Male, 20-24 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

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


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