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 Series Title: Roofing, siding, and sheet metal work, SIC = 176: Employment of Women (thousands), NSA
   For this series:   Numerical Data  |  Source  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series

 1964 01 416•6          Link to Series in Level 2 Subscription Site
 1964 02 496.8          Link to Series in Level 1 Subscription Site
 1964 03 386.8          Link to Series in Level 0 Subscription Site
 1964 04 436•8
 1964 05 216.9
 1964 06 337•0
 1964 07 417•1
 1964 08 366•9
 1964 09 936.7
 1964 10 416•8
 1964 11 696.8
 1964 12 546.5
 1965 01  66.4
 1965 02  536.6
 1965 03  366•8
 1965 04  386•6
 1965 05  376•4
 1965 06  786.5
 1965 07  806.8
 1965 08  606.8
 1965 09  856.7
 1965 10  466.9
 1965 11  647•0
 1965 12  136.9
 1966 01 766•8
 1966 02 146•6
 1966 03 756•9
 1966 04 176.7
 1966 05 606.7
 1966 06 637•0
 1966 07 267•1
 1966 08 147•2
 1966 09 137.2
 1966 10 17•2
 1966 11 557•2
 1966 12 757.2
 1967 01  357•3
 1967 02  597.1
 1967 03  267•0
 1967 04  947•1
 1967 05  517•1
 1967 06  937•1
 1967 07  267.1
 1967 08  907.3
 1967 09  127•2
 1967 10  867•0
 1967 11  687•1
 1967 12  67.1
 1968 01 947.0
 1968 02 437.0
 1968 03 897.1
 1968 04 136.8
 1968 05 966.8
 1968 06 987.0
 1968 07 536•9
 1968 08 36•8
 1968 09 446.7
 1968 10 56•9
 1968 11 487•0
 1968 12 977•1
 1969 01  897•1
 1969 02  477.0
 1969 03  866.9
 1969 04  396.9
 1969 05  57.0
 1969 06  307.0
 1969 07  66.9
 1969 08  976.9
 1969 09  947.2
 1969 10  877.1
 1969 11  707.1
 1969 12  666•9
 1970 01 807•3
 1970 02 737•3
 1970 03 667.2
 1970 04 657.1
 1970 05 147•2
 1970 06 707.2
 1970 07 77•2
 1970 08 387•5
 1970 09 727.4
 1970 10 867.3
 1970 11 317.4
 1970 12 547.3
 1971 01  537.4
 1971 02  516•9
 1971 03  16.8
 1971 04  86•8
 1971 05  837.1
 1971 06  237•0
 1971 07  47.1
 1971 08  177•1
 1971 09  137•2
 1971 10  827•2
 1971 11  557•4
 1971 12  287•4
 1972 01 187•4
 1972 02 367.4
 1972 03 897.6
 1972 04 87.7
 1972 05 997.9
 1972 06 167.8
 1972 07 728.0
 1972 08 538.3
 1972 09 798.1
 1972 10 798.5
 1972 11 898.4
 1972 12 808.4
 1973 01  128.2
 1973 02  78.3
 1973 03  558.3
 1973 04  348•4
 1973 05  708.4
 1973 06  68.5
 1973 07  68.7
 1973 08  858.7
 1973 09  568.4
 1973 10  78.4
 1973 11  78.6
 1973 12  268.2
 1974 01 938•7
 1974 02 688•5
 1974 03 448•9
 1974 04 778.5
 1974 05 348•6
 1974 06 708.8
 1974 07 318.7
 1974 08 828•7
 1974 09 528.8
 1974 10 198•9
 1974 11 68.7
 1974 12 98•6
 1975 01  498•7
 1975 02  488•8
 1975 03  328•9
 1975 04  548•7
 1975 05  508•7
 1975 06  138•8
 1975 07  958•9
 1975 08  349•1
 1975 09  59•0
 1975 10  959.0
 1975 11  109.1
 1975 12  958.5
 1976 01 898.2
 1976 02 28•3
 1976 03 158•0
 1976 04 68.7
 1976 05 48.9
 1976 06 659.1
 1976 07 719•2
 1976 08 609•2
 1976 09 749•6
 1976 10 409•4
 1976 11 679•5
 1976 12 769•4
 1977 01  509.2
 1977 02  99•0
 1977 03  169•3
 1977 04  09•1
 1977 05  79•3
 1977 06  799•4
 1977 07  569•6
 1977 08  999•9
 1977 09  459.9
 1977 10  8210•2
 1977 11  5010•1
 1977 12  6910•0
 1978 01 919.9
 1978 02 7310•0
 1978 03 8510•3
 1978 04 2810.5
 1978 05 9410•4
 1978 06 3610.8
 1978 07 7410.9
 1978 08 2011.0
 1978 09 2910.9
 1978 10 7611.1
 1978 11 5610•9
 1978 12 1510•7
 1979 01  9810•6
 1979 02  2410.6
 1979 03  9311•2
 1979 04  711•4
 1979 05  2511.5
 1979 06  3911•7
 1979 07  7311.8
 1979 08  1511.9
 1979 09  6112.0
 1979 10  112•1
 1979 11  912•1
 1979 12  8212•5
 1980 01 8212.5
 1980 02 1612.8
 1980 03 3912.9
 1980 04 7913•1
 1980 05 8712.9
 1980 06 1712•9
 1980 07 2612.9
 1980 08 9913.0
 1980 09 212.9
 1980 10 6112.8
 1980 11 5812•9
 1980 12 6112•4
 1981 01  7812•1
 1981 02  2812•1
 1981 03  4712.5
 1981 04  1012.5
 1981 05  9012•4
 1981 06  2612•5
 1981 07  3112.6
 1981 08  1512•5
 1981 09  3812.6
 1981 10  8612•7
 1981 11  7412.8
 1981 12  6912•6
 1982 01 4712.3
 1982 02 6512.3
 1982 03 6312•3
 1982 04 9312•5
 1982 05 6912•7
 1982 06 4412.9
 1982 07 1112.9
 1982 08 2913.0
 1982 09 7813•0
 1982 10 3013•2
 1982 11 5613.4
 1982 12 4813•3
 1983 01  7513•2
 1983 02  5513.2
 1983 03  6113•4
 1983 04  4313•8
 1983 05  8514•0
 1983 06  7514.3
 1983 07  1414.4
 1983 08  3414.2
 1983 09  5914•2
 1983 10  7314•4
 1983 11  2714•5
 1983 12  6414•6
 1984 01 7114•4
 1984 02 5314.9
 1984 03 3914•7
 1984 04 414•1
 1984 05 2314.4
 1984 06 5014•8
 1984 07 1215•0
 1984 08 4615.2
 1984 09 4015•3
 1984 10 1815•1
 1984 11 3515.5
 1984 12 1015.8
 1985 01  7215.2
 1985 02  3915.2
 1985 03  2015•0
 1985 04  4115.0
 1985 05  9515.4
 1985 06  2115•5
 1985 07  515.2
 1985 08  715•6


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 1985 09  7015•4
 1985 10  6315.8
 1985 11  2516.0
 1985 12  8515.3
 1986 01 9815.2
 1986 02 3916•0
 1986 03 1315•9
 1986 04 9715.7
 1986 05 115.9
 1986 06 6116.2
 1986 07 5116.6
 1986 08 1916•6
 1986 09 5816.4
 1986 10 8917.0
 1986 11 7816•8
 1986 12 7417.2
 1987 01  7316•7
 1987 02  816.8
 1987 03  6217•1
 1987 04  917.4
 1987 05  7417.5
 1987 06  2717.7
 1987 07  9418•0
 1987 08  9617.8
 1987 09  1517•7
 1987 10  8118•0
 1987 11  8818•0
 1987 12  3218.3
 1988 01 7317•8
 1988 02 3017•7
 1988 03 8717•8
 1988 04 3918.1
 1988 05 5418•2
 1988 06 5818•6
 1988 07 5618•6
 1988 08 6618.4
 1988 09 8418.4
 1988 10 7618•7
 1988 11 8618•4
 1988 12 8318.4
 1989 01  1818.1
 1989 02  1718.0
 1989 03  9417.9
 1989 04  8918.1
 1989 05  3518.2
 1989 06  4318.8
 1989 07  2018•8
 1989 08  618•9
 1989 09  3718•8
 1989 10  3718•9
 1989 11  3019•0
 1989 12  8019•2
 1990 01 5318.5
 1990 02 1018•0
 1990 03 1618•2
 1990 04 8518•2
 1990 05 3718.6
 1990 06 9618•6
 1990 07 9319.0
 1990 08 1719.1
 1990 09 6819.0
 1990 10 5419•0
 1990 11 319•0
 1990 12 9819•1
 1991 01  4818.3
 1991 02  7118•2
 1991 03  1118•3
 1991 04  7718.2
 1991 05  618.3
 1991 06  5518.8
 1991 07  818.6
 1991 08  2518•8
 1991 09  9718•5
 1991 10  4118.3
 1991 11  1118.4
 1991 12  3918•1
 1992 01 9717•6
 1992 02 8917.3
 1992 03 6017.2
 1992 04 4217.7
 1992 05 1218.1
 1992 06 8418•2
 1992 07 2218•2
 1992 08 8118.4
 1992 09 6918•2
 1992 10 3518.3
 1992 11 8718•4
 1992 12 2918.5
 1993 01  2118•0
 1993 02  7818.3
 1993 03  7218.3
 1993 04  8218•1
 1993 05  4917.9
 1993 06  7218•1
 1993 07  1818•3
 1993 08  6217.9
 1993 09  5417.9
 1993 10  118•0
 1993 11  8918•1
 1993 12  1817.9
 1994 01 6517.1
 1994 02 7617.3
 1994 03 7917•5
 1994 04 2117.5
 1994 05 3717.9
 1994 06 3217•9
 1994 07 218•9
 1994 08 6918.9
 1994 09 4619•2
 1994 10 2719•4
 1994 11 019.6
 1994 12 8419.8
 1995 01  9819.1
 1995 02  4819•4
 1995 03  3819.7
 1995 04  1319.8
 1995 05  2120.0
 1995 06  320.5
 1995 07  820.8
 1995 08  2820.6
 1995 09  6720•4
 1995 10  2820.6
 1995 11  2520•9
 1995 12  2720•4
 1996 01 1619.9
 1996 02 8120•0
 1996 03 3120•1
 1996 04 3120.6
 1996 05 7120.9
 1996 06 4921.2
 1996 07 9221•9
 1996 08 8922•3
 1996 09 6022•0
 1996 10 4121•6
 1996 11 9822.1
 1996 12 7322•1
 1997 01  3821•9
 1997 02  9021•8
 1997 03  6721.9
 1997 04  7922•3
 1997 05  8222.6
 1997 06  5922.9
 1997 07  3822•9
 1997 08  3023•2
 1997 09  9623.3
 1997 10  3023•7
 1997 11  7723•8
 1997 12  7423•5
 1998 01 923•3
 1998 02 1423.2
 1998 03 7723•5
 1998 04 8223.6
 1998 05 7424.1
 1998 06 4524•4
 1998 07 5224.4
 1998 08 5224•5
 1998 09 6924.6
 1998 10 8424.6
 1998 11 4425•0
 1998 12 624.8
 1999 01  9924•0
 1999 02  1523•9
 1999 03  1824.5
 1999 04  9124.6
 1999 05  9225.0
 1999 06  4725•2
 1999 07  6725.4
 1999 08  8025•3
 1999 09  025.1
 1999 10  1725.0
 1999 11  525.1
 1999 12  6924•5
 2000 01 423•8
 2000 02 8223.2
 2000 03 7423.7
 2000 04 8224.5
 2000 05 524•8
 2000 06 2925•5
 2000 07 4025.4
 2000 08 6525•4
 2000 09 3325•3
 2000 10 6724•8
 2000 11 9424.3
 2000 12 9123.0
 2001 01  4221.5
 2001 02  3021•6
 2001 03  5221•6
 2001 04  5721•6
 2001 05  921•8
 2001 06  7921.8
 2001 07  5522•1
 2001 08  8522•4
 2001 09  3921•7
 2001 10  9821•3
 2001 11  6921.5
 2001 12  2221.4
 2002 01 5920•7
 2002 02 9720.5
 2002 03 8420•9
 2002 04 4222•0
 2002 05 2422•1
 2002 06 1022.5
 2002 07 1823.4
 2002 08 4023.0
 2002 09 1223•0
 2002 10 9922•9
 2002 11 1022.1
 2002 12 3922.3
 2003 01  2522•2
 2003 02  4621.2

 Series Title: Roofing, siding, and sheet metal work, SIC = 176: Employment of Women (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

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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