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 Series Title: Unemployment Rate: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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Go to beginning of data set
 2019 03  993.8
 2019 02  283·8
 2019 01  224·0
 2018 12 23.9
 2018 11 153·7
 2018 10 73.8
 2018 09 293.7
 2018 08 603.8
 2018 07 603·9
 2018 06 474·0
 2018 05 993·8
 2018 04 783.9
 2018 03 844.0
 2018 02 304.1
 2018 01 464.1
 2017 12  24.1
 2017 11  634·2
 2017 10  624.1
 2017 09  74.2
 2017 08  04·4
 2017 07  964·3
 2017 06  754·3
 2017 05  454.4
 2017 04  674.4
 2017 03  104·4
 2017 02  264.7
 2017 01  484·7
 2016 12 224.7
 2016 11 554·7
 2016 10 954·9
 2016 09 285·0
 2016 08 84·9
 2016 07 74.8
 2016 06 914.9
 2016 05 254.8
 2016 04 965·0
 2016 03 645·0
 2016 02 444.9
 2016 01 04.9
 2015 12  785·0
 2015 11  545.1
 2015 10  115·0
 2015 09  425.0
 2015 08  755.1
 2015 07  265.2
 2015 06  745·3
 2015 05  635·6
 2015 04  305·4
 2015 03  565.4
 2015 02  395·5
 2015 01  15·7
 2014 12 135·6
 2014 11 445·8
 2014 10 385.7
 2014 09 205.9
 2014 08 186·1
 2014 07 156.2
 2014 06 286·1
 2014 05 76·3
 2014 04 636·2
 2014 03 206·7
 2014 02 906·7
 2014 01 756.6
 2013 12  946.7
 2013 11  356·9
 2013 10  317.2
 2013 09  617·2
 2013 08  787.2
 2013 07  597·3
 2013 06  837·5
 2013 05  307·5
 2013 04  117·6
 2013 03  197.5
 2013 02  17.7
 2013 01  688.0
 2012 12 117·9
 2012 11 647·7
 2012 10 697·8
 2012 09 887·8
 2012 08 238·1
 2012 07 698·2
 2012 06 928·2
 2012 05 298·2
 2012 04 168·2
 2012 03 368.2
 2012 02 38.3
 2012 01 548·3
 2011 12  838·5
 2011 11  908.6
 2011 10  578.8
 2011 09  499·0
 2011 08  449·0
 2011 07  819.0
 2011 06  369.1
 2011 05  299·0
 2011 04  449·1
 2011 03  849.0
 2011 02  489·0
 2011 01  319·1
 2010 12 519·3
 2010 11 09·8
 2010 10 239·4
 2010 09 179·5
 2010 08 599·5
 2010 07 549.4
 2010 06 199.4
 2010 05 779.6
 2010 04 879.9
 2010 03 979·9
 2010 02 179.8
 2010 01 229.8
 2009 12  819.9
 2009 11  49.9
 2009 10  2310.0
 2009 09  919.8
 2009 08  89.6
 2009 07  759·5
 2009 06  699.5
 2009 05  469·4
 2009 04  639·0
 2009 03  368.7
 2009 02  138.3
 2009 01  757·8
 2008 12 657.3
 2008 11 376·8
 2008 10 356.5
 2008 09 926.1
 2008 08 586·1
 2008 07 545·8
 2008 06 425.6
 2008 05 345·4
 2008 04 125·0
 2008 03 865.1
 2008 02 664·9
 2008 01 635.0
 2007 12  215.0
 2007 11  604.7
 2007 10  634.7
 2007 09  694·7
 2007 08  34·6
 2007 07  264·7
 2007 06  164.6
 2007 05  644.4
 2007 04  24.5
 2007 03  594·4
 2007 02  304·5
 2007 01  854·6
 2006 12 894.4
 2006 11 594.5
 2006 10 384·4
 2006 09 964.5
 2006 08 574.7
 2006 07 534·7
 2006 06 964·6
 2006 05 844.6
 2006 04 254.7
 2006 03 894·7
 2006 02 854.8
 2006 01 634·7
 2005 12  374.9
 2005 11  445.0
 2005 10  135·0
 2005 09  695.0
 2005 08  634.9
 2005 07  195·0
 2005 06  115.0
 2005 05  685.1
 2005 04  975.2
 2005 03  375.2
 2005 02  355.4
 2005 01  455·3
 2004 12 575·4
 2004 11 515.4
 2004 10 675·5
 2004 09 145.4
 2004 08 895.4
 2004 07 355.5
 2004 06 155·6
 2004 05 125.6
 2004 04 605.6
 2004 03 895.8
 2004 02 95·6
 2004 01 45.7
 2003 12  665·7
 2003 11  405.8
 2003 10  66·0
 2003 09  766·1
 2003 08  246·1
 2003 07  376.2
 2003 06  886·3
 2003 05  426·1
 2003 04  816·0
 2003 03  565.9
 2003 02  615.9
 2003 01  395·8
 2002 12 46.0
 2002 11 965·9
 2002 10 575.7
 2002 09 305·7
 2002 08 885.7
 2002 07 855·8
 2002 06 335·8
 2002 05 35·8
 2002 04 515·9
 2002 03 715.7
 2002 02 715.7
 2002 01 725·7
 2001 12  395·7
 2001 11  315·5
 2001 10  765·3
 2001 09  735.0
 2001 08  204.9
 2001 07  654.6
 2001 06  814.5
 2001 05  704·3
 2001 04  894·4
 2001 03  984·3
 2001 02  434·2
 2001 01  514.2
 2000 12 633·9
 2000 11 803.9
 2000 10 423.9
 2000 09 293.9
 2000 08 894.1
 2000 07 874.0
 2000 06 864.0
 2000 05 414·0
 2000 04 343·8
 2000 03 204.0
 2000 02 64.1
 2000 01 504·0
 1999 12  934.0
 1999 11  34·1
 1999 10  594·1
 1999 09  454.2
 1999 08  854·2
 1999 07  884.3
 1999 06  264.3
 1999 05  384·2
 1999 04  544·3
 1999 03  494.2
 1999 02  144·4
 1999 01  674·3
 1998 12 704.4
 1998 11 864.4
 1998 10 564·5
 1998 09 954·6
 1998 08 264·5
 1998 07 264.5
 1998 06 64·5
 1998 05 104·4
 1998 04 424.3
 1998 03 194.7
 1998 02 484·6
 1998 01 244·6
 1997 12  614.7
 1997 11  404.6
 1997 10  874·7
 1997 09  764·9
 1997 08  534·8
 1997 07  894.9
 1997 06  565.0
 1997 05  294.9
 1997 04  135.1
 1997 03  925.2
 1997 02  115.2
 1997 01  705·3
 1996 12 585.4
 1996 11 05·4
 1996 10 335.2
 1996 09 135·2
 1996 08 345.1
 1996 07 875.5
 1996 06 305·3
 1996 05 945.6
 1996 04 95.6
 1996 03 545·5
 1996 02 325·5
 1996 01 785.6
 1995 12  785.6
 1995 11  265.6
 1995 10  975.5
 1995 09  525·6
 1995 08  605.7
 1995 07  545·7
 1995 06  65.6
 1995 05  285.6
 1995 04  985.8
 1995 03  135.4
 1995 02  665·4
 1995 01  455·6
 1994 12 625.5
 1994 11 45.6
 1994 10 95·8
 1994 09 665.9
 1994 08 476.0
 1994 07 526·1
 1994 06 906·1
 1994 05 796·1
 1994 04 716.4
 1994 03 76·5
 1994 02 926.6
 1994 01 956·6
 1993 12  786·5
 1993 11  456.6
 1993 10  226·8
 1993 09  556·7
 1993 08  386·8
 1993 07  666.9
 1993 06  117.0
 1993 05  197·1
 1993 04  447.1
 1993 03  967.0
 1993 02  157.1
 1993 01  767·3
 1992 12 177.4
 1992 11 857.4
 1992 10 167.3
 1992 09 407.6
 1992 08 997·6
 1992 07 77·7
 1992 06 227·8
 1992 05 477.6
 1992 04 617.4
 1992 03 657·4
 1992 02 637.4
 1992 01 617.3
 1991 12  967.3
 1991 11  837·0
 1991 10  967.0
 1991 09  706·9
 1991 08  236.9
 1991 07  116·8
 1991 06  36.9
 1991 05  866·9
 1991 04  876.7
 1991 03  256·8
 1991 02  916·6
 1991 01  486.4
 1990 12 566·3
 1990 11 256·2
 1990 10 915·9
 1990 09 185.9
 1990 08 255.7
 1990 07 375·5
 1990 06 595·2
 1990 05 845.4
 1990 04 145.4
 1990 03 115·2
 1990 02 785.3
 1990 01 605·4
 1989 12  655.4
 1989 11  225·4
 1989 10  555.3
 1989 09  825.3
 1989 08  495.2
 1989 07  715.2
 1989 06  195·3
 1989 05  155.2
 1989 04  595·2
 1989 03  845.0
 1989 02  295.2
 1989 01  455.4
 1988 12 145.3
 1988 11 105·3
 1988 10 665·4
 1988 09 865·4
 1988 08 605.6
 1988 07 255·4
 1988 06 375·4
 1988 05 755·6
 1988 04 645·4
 1988 03 295·7
 1988 02 735·7
 1988 01 765.7
 1987 12  215·7
 1987 11  485·8
 1987 10  316.0
 1987 09  765.9
 1987 08  506.0
 1987 07  336.1
 1987 06  926·2
 1987 05  886·3
 1987 04  956·3
 1987 03  576.6
 1987 02  646·6
 1987 01  516.6
 1986 12 266.6
 1986 11 236·9
 1986 10 787·0
 1986 09 267.0
 1986 08 366·9
 1986 07 567.0
 1986 06 897·2
 1986 05 37·2
 1986 04 457.1
 1986 03 47.2
 1986 02 827.2
 1986 01 936·7
 1985 12  977.0
 1985 11  457·0
 1985 10  607·1
 1985 09  357·1
 1985 08  617.1
 1985 07  797·4
 1985 06  577.4
 1985 05  917.2
 1985 04  307.3
 1985 03  307.2
 1985 02  307·2
 1985 01  507.3
 1984 12 257.3
 1984 11 507·2
 1984 10 587.4
 1984 09 257·3
 1984 08 907·5
 1984 07 147.5
 1984 06 517.2
 1984 05 527.4
 1984 04 937.7
 1984 03 217·8
 1984 02 387·8
 1984 01 968.0
 1983 12  288·3
 1983 11  988.5
 1983 10  778·8
 1983 09  449·2
 1983 08  169.5
 1983 07  959·4
 1983 06  4810.1
 1983 05  810·1
 1983 04  9910.2
 1983 03  8710·3
 1983 02  6010.4
 1983 01  2810.4
 1982 12 4710.8
 1982 11 7510·8
 1982 10 4410·4
 1982 09 6510.1
 1982 08 559.8
 1982 07 839.8
 1982 06 559.6
 1982 05 89·4
 1982 04 419.3
 1982 03 639.0
 1982 02 768·9
 1982 01 698.6
 1981 12  498·5
 1981 11  908.3
 1981 10  147·9
 1981 09  877·6
 1981 08  497.4
 1981 07  657.2
 1981 06  07.5
 1981 05  247.5
 1981 04  357·2
 1981 03  117.4
 1981 02  917·4
 1981 01  687.5
 1980 12 257.2
 1980 11 817.5
 1980 10 677·5
 1980 09 327·5
 1980 08 657·7
 1980 07 497·8
 1980 06 377·6
 1980 05 547.5
 1980 04 236·9
 1980 03 166·3
 1980 02 326·3
 1980 01 976.3
 1979 12  936·0
 1979 11  75·9
 1979 10  86.0
 1979 09  495.9
 1979 08  956·0
 1979 07  725·7
 1979 06  465.7
 1979 05  225.6
 1979 04  725.8
 1979 03  885·8
 1979 02  555.9
 1979 01  555.9
 1978 12 956.0
 1978 11 545·9
 1978 10 645.8
 1978 09 106.0
 1978 08 565·9
 1978 07 956.2
 1978 06 315·9
 1978 05 766·0
 1978 04 756·1
 1978 03 636.3
 1978 02 386.3
 1978 01 646·4
 1977 12  966·4
 1977 11  326.8
 1977 10  916.8
 1977 09  146.8
 1977 08  887·0
 1977 07  36.9
 1977 06  227.2
 1977 05  887.0
 1977 04  467.2
 1977 03  17.4
 1977 02  877·6
 1977 01  737.5
 1976 12 897.8
 1976 11 777·8
 1976 10 687.7
 1976 09 837.6
 1976 08 607·8
 1976 07 67·8
 1976 06 727.6
 1976 05 567·4
 1976 04 307.7
 1976 03 897·6
 1976 02 307·7
 1976 01 557.9
 1975 12  918.2
 1975 11  508.3
 1975 10  998·4
 1975 09  668.4
 1975 08  638.4
 1975 07  408·6
 1975 06  618.8
 1975 05  49.0
 1975 04  918·8
 1975 03  368.6
 1975 02  228·1
 1975 01  78.1
 1974 12 437.2
 1974 11 366·6
 1974 10 146·0
 1974 09 365.9
 1974 08 145·5
 1974 07 665·5
 1974 06 935·4
 1974 05 805·1
 1974 04 235·1
 1974 03 785·1
 1974 02 425.2
 1974 01 535·1
 1973 12  134·9
 1973 11  454.8
 1973 10  664.6
 1973 09  914.8
 1973 08  544.8
 1973 07  694.8
 1973 06  984.9
 1973 05  574·9
 1973 04  415·0
 1973 03  754·9
 1973 02  945·0
 1973 01  404.9
 1972 12 925·2
 1972 11 145.3
 1972 10 365·6
 1972 09 535.5
 1972 08 515·6
 1972 07 605·6
 1972 06 305.7
 1972 05 335·7
 1972 04 885·7
 1972 03 145.8
 1972 02 85·7
 1972 01 435·8
 1971 12  966.0
 1971 11  26.0
 1971 10  275·8
 1971 09  716·0
 1971 08  956·1
 1971 07  746.0
 1971 06  685.9
 1971 05  305·9
 1971 04  305·9
 1971 03  56.0
 1971 02  385·9
 1971 01  585.9
 1970 12 686·1
 1970 11 965·9
 1970 10 685.5
 1970 09 185.4
 1970 08 55.1
 1970 07 715.0
 1970 06 164.9
 1970 05 974·8
 1970 04 594·6
 1970 03 834.4
 1970 02 634.2
 1970 01 93·9
 1969 12  753.5
 1969 11  53.5
 1969 10  153·7
 1969 09  923.7
 1969 08  213.5
 1969 07  383.5
 1969 06  43.5
 1969 05  83·4
 1969 04  933.4
 1969 03  83·4
 1969 02  873·4
 1969 01  453·4
 1968 12 83.4
 1968 11 663.4
 1968 10 463·4
 1968 09 163·4
 1968 08 113·5
 1968 07 853.7
 1968 06 863·7
 1968 05 593·5
 1968 04 723·5
 1968 03 683.7
 1968 02 403·8
 1968 01 373·7
 1967 12  843·8
 1967 11  383·9
 1967 10  654·0
 1967 09  383.8
 1967 08  663.8
 1967 07  473·8
 1967 06  413·9
 1967 05  743·8
 1967 04  633·8
 1967 03  713.8
 1967 02  773.8
 1967 01  843.9
 1966 12 453·8
 1966 11 83.6
 1966 10 23·7
 1966 09 313·7
 1966 08 43.8
 1966 07 863·8
 1966 06 743.8
 1966 05 23·9
 1966 04 603.8
 1966 03 533·8
 1966 02 753.8
 1966 01 104·0
 1965 12  574.0
 1965 11  864·1
 1965 10  114.2
 1965 09  934·3
 1965 08  654·4
 1965 07  854.4
 1965 06  144.6
 1965 05  144·6
 1965 04  774·8
 1965 03  764.7
 1965 02  415.1
 1965 01  614.9
 1964 12 135.0
 1964 11 84.8
 1964 10 725·1
 1964 09 475·1
 1964 08 175·0
 1964 07 574.9
 1964 06 155·2
 1964 05 105.1
 1964 04 575.3
 1964 03 245.4
 1964 02 25·4
 1964 01 125·6
 1963 12  295·5
 1963 11  335·7
 1963 10  885.5
 1963 09  425.5
 1963 08  515·4
 1963 07  365.6
 1963 06  575.6
 1963 05  125·9
 1963 04  675.7
 1963 03  85·7
 1963 02  135·9
 1963 01  605.7
 1962 12 475.5
 1962 11 495.7
 1962 10 905.4
 1962 09 495.6
 1962 08 855.7
 1962 07 845.4
 1962 06 435·5
 1962 05 685·5
 1962 04 995.6
 1962 03 645.6
 1962 02 555·5
 1962 01 285.8
 1961 12  346·0
 1961 11  646·1
 1961 10  316.5
 1961 09  696.7
 1961 08  596·6
 1961 07  857·0
 1961 06  46.9
 1961 05  517.1
 1961 04  697.0
 1961 03  526·9
 1961 02  306·9
 1961 01  656·6
 1960 12 826.6
 1960 11 156.1
 1960 10 906·1
 1960 09 225·5
 1960 08 425·6
 1960 07 505.5
 1960 06 935·4
 1960 05 605·1
 1960 04 195.2
 1960 03 585.4
 1960 02 684.8
 1960 01 435.2
 1959 12  75·3
 1959 11  635·8
 1959 10  735.7
 1959 09  585.5
 1959 08  245.2
 1959 07  165·1
 1959 06  895·0
 1959 05  185·1
 1959 04  165·2
 1959 03  925.6
 1959 02  235·9
 1959 01  616.0
 1958 12 516.2
 1958 11 926.2
 1958 10 76.7
 1958 09 497.1
 1958 08 237·4
 1958 07 417·5
 1958 06 987.3
 1958 05 727·4
 1958 04 527·4
 1958 03 906·7
 1958 02 766·4
 1958 01 415·8
 1957 12  815.2
 1957 11  145.1
 1957 10  494·5
 1957 09  944·4
 1957 08  804·1
 1957 07  134.2
 1957 06  484.3
 1957 05  954·1
 1957 04  433·9
 1957 03  123·7
 1957 02  293.9
 1957 01  314·2
 1956 12 894·2
 1956 11 634·3
 1956 10 763.9
 1956 09 153·9
 1956 08 624.1
 1956 07 404.4
 1956 06 934.3
 1956 05 864·3
 1956 04 324·0
 1956 03 454·2
 1956 02 133.9
 1956 01 54·0
 1955 12  924·2
 1955 11  14.2
 1955 10  934·3
 1955 09  614·1
 1955 08  614·2
 1955 07  604.0
 1955 06  134.2
 1955 05  674.3
 1955 04  854.7
 1955 03  974.6
 1955 02  824·7
 1955 01  614·9
 1954 12 315.0
 1954 11 135·3
 1954 10 295.7
 1954 09 56·1
 1954 08 946.0
 1954 07 325·8
 1954 06 135·6
 1954 05 875·9
 1954 04 945·9
 1954 03 65·7
 1954 02 145·2
 1954 01 214.9
 1953 12  734·5
 1953 11  103.5
 1953 10  403.1
 1953 09  442·9
 1953 08  22.7
 1953 07  432·6
 1953 06  212·5
 1953 05  192·5
 1953 04  752·7
 1953 03  322.6
 1953 02  152.6
 1953 01  342.9
 1952 12 102·7
 1952 11 262.8
 1952 10 33.0
 1952 09 23.1
 1952 08 533·4
 1952 07 23·2
 1952 06 923.0
 1952 05 613.0
 1952 04 712·9
 1952 03 592.9
 1952 02 133.1
 1952 01 733.2
 1951 12  603·1
 1951 11  233·5
 1951 10  233·5
 1951 09  273.3
 1951 08  373·1
 1951 07  453.1
 1951 06  53.2
 1951 05  353·0
 1951 04  483·1
 1951 03  993·4
 1951 02  633·4
 1951 01  363·7
 1950 12 624.3
 1950 11 874.2
 1950 10 314.2
 1950 09 924·4
 1950 08 734.5
 1950 07 335·0
 1950 06 645.4
 1950 05 905·5
 1950 04 995·8
 1950 03 886·3
 1950 02 446·4
 1950 01 456.5
 1949 12  856·6
 1949 11  276·4
 1949 10  797·9
 1949 09  946.6
 1949 08  16.8
 1949 07  516.7
 1949 06  996.2
 1949 05  996.1
 1949 04  395.3
 1949 03  855.0


 1949 02  614·7
 1949 01  504·3
 1948 12 214·0
 1948 11 803·8
 1948 10 473.7
 1948 09 573.8
 1948 08 883·9
 1948 07 103·6
 1948 06 633.6
 1948 05 613.5
 1948 04 123·9
 1948 03 774.0
 1948 02 423.8
 1948 01 223·4
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

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      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Unemployment Rate: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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Want to know how State economies fared during the Clinton Administration? Use the Reporter.

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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