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 Series Title: Employment level, Nonagricultural industries, Cuban, Male; (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

 1990 010328.          Link to Series in Level 2 Subscription Site
 1990 029328.          Link to Series in Level 1 Subscription Site
 1990 032306.          Link to Series in Level 0 Subscription Site
 1990 040313.
 1990 051302.
 1990 066338.
 1990 077321.
 1990 086309.
 1990 095298.
 1990 100299.
 1990 112309.
 1990 120305.
 1991 01 2318.
 1991 02 6317.
 1991 03 4336.
 1991 04 3331.
 1991 05 0337.
 1991 06 2334.
 1991 07 5334.
 1991 08 3288.
 1991 09 6293.
 1991 10 0297.
 1991 11 1279.
 1991 12 2297.
 1992 016301.
 1992 029312.
 1992 033314.
 1992 045293.
 1992 057322.
 1992 063303.
 1992 078289.
 1992 087264.
 1992 092267.
 1992 108297.
 1992 119285.
 1992 124324.
 1993 01 7341.
 1993 02 7318.
 1993 03 2322.
 1993 04 4298.
 1993 05 1327.
 1993 06 3320.
 1993 07 4308.
 1993 08 7322.
 1993 09 9315.
 1993 10 4306.
 1993 11 3290.
 1993 12 4290.
 1994 014285.
 1994 024312.
 1994 037277.
 1994 040273.
 1994 058315.
 1994 064309.
 1994 071337.
 1994 084341.
 1994 091337.
 1994 106332.
 1994 117307.
 1994 128301.
 1995 01 2312.
 1995 02 2326.
 1995 03 0304.
 1995 04 0313.
 1995 05 4291.
 1995 06 9308.
 1995 07 2335.
 1995 08 9326.
 1995 09 3335.
 1995 10 6324.
 1995 11 2315.
 1995 12 5321.
 1996 016299.
 1996 022301.
 1996 038301.
 1996 046339.
 1996 054360.
 1996 069409.
 1996 075366.
 1996 086357.
 1996 096351.
 1996 106363.
 1996 110381.
 1996 125378.
 1997 01 1358.
 1997 02 5328.
 1997 03 3361.
 1997 04 2358.
 1997 05 9402.
 1997 06 1382.
 1997 07 3364.
 1997 08 9351.
 1997 09 2347.
 1997 10 3341.
 1997 11 7352.
 1997 12 3375.
 1998 014385.
 1998 020336.
 1998 030333.
 1998 043328.
 1998 051355.
 1998 063383.
 1998 073380.
 1998 082386.
 1998 096380.
 1998 103350.
 1998 113378.
 1998 128395.
 1999 01 9402.
 1999 02 2417.
 1999 03 5394.
 1999 04 5382.
 1999 05 6412.
 1999 06 6439.
 1999 07 3445.
 1999 08 9448.
 1999 09 6413.
 1999 10 5342.
 1999 11 4357.
 1999 12 7392.
 2000 016415.
 2000 021451.
 2000 030401.
 2000 047369.
 2000 059423.
 2000 067444.
 2000 074447.
 2000 089446.
 2000 099414.
 2000 104379.

 2000 119413.
 2000 120390.
 2001 01 8343.
 2001 02 8402.
 2001 03 9369.
 2001 04 0389.
 2001 05 2424.
 2001 06 6406.
 2001 07 5397.
 2001 08 7368.
 2001 09 1341.
 2001 10 9311.
 2001 11 0321.
 2001 12 5334.
 2002 017309.
 2002 020343.
 2002 039349.
 2002 041294.
 2002 058334.
 2002 062354.
 2002 079370.
 2002 082346.
 2002 091332.
 2002 100316.
 2002 116316.
 2002 121376.
 2003 01 2349.
 2003 02 4355.
 2003 03 7337.
 2003 04 1360.
 2003 05 9347.
 2003 06 4309.
 2003 07 1313.
 2003 08 1335.
 2003 09 5367.
 2003 10 0396.
 2003 11 5404.
 2003 12 8409.
 2004 016401.
 2004 025386.
 2004 038406.
 2004 040394.
 2004 050382.
 2004 064408.
 2004 079405.
 2004 087429.
 2004 091460.
 2004 105488.
 2004 114497.
 2004 124449.
 2005 01 6427.
 2005 02 8436.
 2005 03 4395.
 2005 04 1371.
 2005 05 3414.
 2005 06 1440.
 2005 07 3438.
 2005 08 5452.
 2005 09 3433.
 2005 10 8418.
 2005 11 2452.
 2005 12 1458.
 2006 011453.
 2006 028456.
 2006 032417.
 2006 040473.
 2006 057456.
 2006 065442.
 2006 074474.
 2006 088425.
 2006 099443.
 2006 108419.
 2006 116445.
 2006 122481.
 2007 01 8475.
 2007 02 3488.
 2007 03 7513.
 2007 04 8543.
 2007 05 8520.
 2007 06 2532.
 2007 07 2496.
 2007 08 0417.
 2007 09 9439.
 2007 10 2428.
 2007 11 8476.
 2007 12 7505.
 2008 015487.
 2008 023520.
 2008 034529.
 2008 047512.
 2008 056533.
 2008 065485.

 Series Title: Employment level, Nonagricultural industries, Cuban, Male; (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


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