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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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 1948 01 333.4
 1948 02 283·8
 1948 03 404·0
 1948 04 463.9
 1948 05 493·5
 1948 06 523.6
 1948 07 623.6
 1948 08 133·9
 1948 09 243·8
 1948 10 683·7
 1948 11 783.8
 1948 12 734·0
 1949 01  104.3
 1949 02  584.7
 1949 03  25·0
 1949 04  705·3
 1949 05  826.1
 1949 06  286.2
 1949 07  726.7
 1949 08  726.8
 1949 09  406.6
 1949 10  117.9
 1949 11  506·4
 1949 12  746·6
 1950 01 106.5
 1950 02 626·4
 1950 03 246·3
 1950 04 955·8
 1950 05 415.5
 1950 06 645·4
 1950 07 75.0
 1950 08 804.5
 1950 09 114.4
 1950 10 234.2
 1950 11 374.2
 1950 12 964.3
 1951 01  183.7
 1951 02  713.4
 1951 03  773.4
 1951 04  393·1
 1951 05  883.0
 1951 06  643.2
 1951 07  153·1
 1951 08  273.1
 1951 09  723·3
 1951 10  833·5
 1951 11  643·5
 1951 12  53.1
 1952 01 443.2
 1952 02 373.1
 1952 03 612.9
 1952 04 422.9
 1952 05 73.0
 1952 06 563·0
 1952 07 703·2
 1952 08 323.4
 1952 09 843·1
 1952 10 973.0
 1952 11 782.8
 1952 12 942.7
 1953 01  262·9
 1953 02  412.6
 1953 03  982·6
 1953 04  722·7
 1953 05  82.5
 1953 06  952·5
 1953 07  682.6
 1953 08  362.7
 1953 09  322·9
 1953 10  913.1
 1953 11  513.5
 1953 12  794.5
 1954 01 224.9
 1954 02 865.2
 1954 03 365.7
 1954 04 215·9
 1954 05 295·9
 1954 06 615·6
 1954 07 345.8
 1954 08 56.0
 1954 09 286.1
 1954 10 235.7
 1954 11 835·3
 1954 12 25·0
 1955 01  194·9
 1955 02  34.7
 1955 03  484·6
 1955 04  44·7
 1955 05  284·3
 1955 06  584.2
 1955 07  154.0
 1955 08  324·2
 1955 09  64·1
 1955 10  694·3
 1955 11  974·2
 1955 12  294.2
 1956 01 274.0
 1956 02 443.9
 1956 03 324·2
 1956 04 654.0
 1956 05 924.3
 1956 06 144.3
 1956 07 844.4
 1956 08 344·1
 1956 09 273.9
 1956 10 363·9
 1956 11 394.3
 1956 12 544.2
 1957 01  824.2
 1957 02  903.9
 1957 03  123.7
 1957 04  703·9
 1957 05  324.1
 1957 06  854·3
 1957 07  394.2
 1957 08  514.1
 1957 09  774·4
 1957 10  514·5
 1957 11  845·1
 1957 12  915·2
 1958 01 445.8
 1958 02 466·4
 1958 03 356.7
 1958 04 107·4
 1958 05 827.4
 1958 06 507.3
 1958 07 47.5
 1958 08 517·4
 1958 09 667.1
 1958 10 706.7
 1958 11 296.2
 1958 12 846.2
 1959 01  986.0
 1959 02  395·9
 1959 03  745·6
 1959 04  25.2
 1959 05  35·1
 1959 06  125·0
 1959 07  265.1
 1959 08  265.2
 1959 09  305·5
 1959 10  725.7
 1959 11  985.8
 1959 12  995·3
 1960 01 565.2
 1960 02 254·8
 1960 03 285.4
 1960 04 895·2
 1960 05 815·1
 1960 06 25·4
 1960 07 795.5
 1960 08 925.6
 1960 09 305·5
 1960 10 616·1
 1960 11 386·1
 1960 12 276.6
 1961 01  536·6
 1961 02  826.9
 1961 03  196.9
 1961 04  377·0
 1961 05  267·1
 1961 06  736·9
 1961 07  607·0
 1961 08  926·6
 1961 09  506.7
 1961 10  666·5
 1961 11  236·1
 1961 12  866·0
 1962 01 495·8
 1962 02 165.5
 1962 03 965·6
 1962 04 385·6
 1962 05 755.5
 1962 06 55·5
 1962 07 935.4
 1962 08 925·7
 1962 09 25.6
 1962 10 415.4
 1962 11 505.7
 1962 12 175·5
 1963 01  315.7
 1963 02  555·9
 1963 03  325·7
 1963 04  85·7
 1963 05  875.9
 1963 06  35.6
 1963 07  255·6
 1963 08  835.4
 1963 09  205·5
 1963 10  665.5
 1963 11  435·7
 1963 12  885.5
 1964 01 75.6
 1964 02 535·4
 1964 03 245·4
 1964 04 905·3
 1964 05 475.1
 1964 06 945·2
 1964 07 304·9
 1964 08 845·0
 1964 09 675.1
 1964 10 465.1
 1964 11 494.8
 1964 12 895·0
 1965 01  154.9
 1965 02  915·1
 1965 03  954.7
 1965 04  504.8
 1965 05  684.6
 1965 06  344·6
 1965 07  54·4
 1965 08  354.4
 1965 09  264·3
 1965 10  94.2
 1965 11  434.1
 1965 12  384·0
 1966 01 144·0
 1966 02 713.8
 1966 03 953·8
 1966 04 793·8
 1966 05 833.9
 1966 06 33.8
 1966 07 753·8
 1966 08 33·8
 1966 09 93·7
 1966 10 103·7
 1966 11 203.6
 1966 12 773.8
 1967 01  913.9
 1967 02  253.8
 1967 03  953·8
 1967 04  963.8
 1967 05  543·8
 1967 06  33·9
 1967 07  863.8
 1967 08  803.8
 1967 09  513.8
 1967 10  284.0
 1967 11  63.9
 1967 12  723.8
 1968 01 553.7
 1968 02 53.8
 1968 03 943.7
 1968 04 413·5
 1968 05 673.5
 1968 06 663.7
 1968 07 123.7
 1968 08 833.5
 1968 09 123·4
 1968 10 673·4
 1968 11 483.4
 1968 12 153·4
 1969 01  423·4
 1969 02  913·4
 1969 03  153.4
 1969 04  823·4
 1969 05  313.4
 1969 06  443.5
 1969 07  503.5
 1969 08  533.5
 1969 09  793·7
 1969 10  573.7
 1969 11  183·5
 1969 12  233·5
 1970 01 133.9
 1970 02 884·2
 1970 03 54.4
 1970 04 104.6
 1970 05 824.8
 1970 06 174.9
 1970 07 255.0
 1970 08 585·1
 1970 09 625.4
 1970 10 525·5
 1970 11 155·9
 1970 12 386.1
 1971 01  535·9
 1971 02  245·9
 1971 03  396.0
 1971 04  425·9
 1971 05  815.9
 1971 06  905·9
 1971 07  846·0
 1971 08  906.1
 1971 09  966·0
 1971 10  315.8
 1971 11  636.0
 1971 12  266·0
 1972 01 745.8
 1972 02 555·7
 1972 03 145.8
 1972 04 195·7
 1972 05 145.7
 1972 06 925.7
 1972 07 05·6
 1972 08 645·6
 1972 09 425·5
 1972 10 995·6
 1972 11 85·3
 1972 12 795.2
 1973 01  94·9
 1973 02  585·0
 1973 03  524·9
 1973 04  95.0
 1973 05  904.9
 1973 06  764·9
 1973 07  704·8
 1973 08  234.8
 1973 09  864·8
 1973 10  854.6
 1973 11  254·8
 1973 12  154.9
 1974 01 215.1
 1974 02 405·2
 1974 03 35·1
 1974 04 45·1
 1974 05 465.1
 1974 06 235·4
 1974 07 195.5
 1974 08 345.5
 1974 09 375·9
 1974 10 426.0
 1974 11 106·6
 1974 12 757·2
 1975 01  948.1
 1975 02  288·1
 1975 03  398·6
 1975 04  208·8
 1975 05  429·0
 1975 06  378.8
 1975 07  948·6
 1975 08  888.4
 1975 09  328·4
 1975 10  528·4
 1975 11  888·3
 1975 12  258·2
 1976 01 397·9
 1976 02 787.7
 1976 03 587.6
 1976 04 987·7
 1976 05 647·4
 1976 06 477.6
 1976 07 687.8
 1976 08 37.8
 1976 09 317.6
 1976 10 167.7
 1976 11 67·8
 1976 12 587.8
 1977 01  927.5
 1977 02  687·6
 1977 03  847.4
 1977 04  77·2
 1977 05  217·0
 1977 06  77·2
 1977 07  406·9
 1977 08  207.0
 1977 09  206·8
 1977 10  666·8
 1977 11  376.8
 1977 12  906.4
 1978 01 136.4
 1978 02 26·3
 1978 03 636·3
 1978 04 376·1
 1978 05 516·0
 1978 06 975·9
 1978 07 326·2
 1978 08 55·9
 1978 09 96.0
 1978 10 565.8
 1978 11 805·9
 1978 12 636.0
 1979 01  875·9
 1979 02  115.9
 1979 03  705·8
 1979 04  55·8
 1979 05  125·6
 1979 06  205.7
 1979 07  925.7
 1979 08  516·0
 1979 09  335.9
 1979 10  646·0
 1979 11  575·9
 1979 12  446·0
 1980 01 266.3
 1980 02 496.3
 1980 03 36.3
 1980 04 546·9
 1980 05 927·5
 1980 06 77·6
 1980 07 937·8
 1980 08 747.7
 1980 09 547.5
 1980 10 957.5
 1980 11 167.5
 1980 12 257.2
 1981 01  657.5
 1981 02  947.4
 1981 03  847.4
 1981 04  497·2
 1981 05  997·5
 1981 06  117.5
 1981 07  347.2
 1981 08  177.4
 1981 09  577.6
 1981 10  787·9
 1981 11  318·3
 1981 12  228.5
 1982 01 648·6
 1982 02 518·9
 1982 03 619.0
 1982 04 849.3
 1982 05 719·4
 1982 06 129·6
 1982 07 389·8
 1982 08 469·8
 1982 09 5210·1
 1982 10 6710·4
 1982 11 9910·8
 1982 12 7810.8
 1983 01  910.4
 1983 02  4910.4
 1983 03  810.3
 1983 04  7310.2
 1983 05  6610.1
 1983 06  1410·1
 1983 07  529·4
 1983 08  529.5
 1983 09  759.2
 1983 10  438·8
 1983 11  448.5
 1983 12  588.3
 1984 01 108.0
 1984 02 437.8
 1984 03 227.8
 1984 04 617·7
 1984 05 727·4
 1984 06 467·2
 1984 07 497·5
 1984 08 537.5
 1984 09 867.3
 1984 10 87·4
 1984 11 137.2
 1984 12 567·3
 1985 01  37.3
 1985 02  127.2
 1985 03  277·2
 1985 04  127·3
 1985 05  987·2
 1985 06  637.4
 1985 07  287.4
 1985 08  917·1
 1985 09  727.1
 1985 10  937.1
 1985 11  807.0
 1985 12  877·0
 1986 01 496·7
 1986 02 607·2
 1986 03 707·2
 1986 04 197.1
 1986 05 817·2
 1986 06 447.2
 1986 07 127.0
 1986 08 326·9
 1986 09 427.0
 1986 10 527.0
 1986 11 436.9
 1986 12 946·6
 1987 01  336.6
 1987 02  166.6
 1987 03  266·6
 1987 04  996·3
 1987 05  806·3
 1987 06  936.2
 1987 07  496.1
 1987 08  676.0
 1987 09  325·9
 1987 10  646·0
 1987 11  245·8
 1987 12  425.7
 1988 01 655.7
 1988 02 355·7
 1988 03 915.7
 1988 04 945.4
 1988 05 815·6
 1988 06 395.4
 1988 07 115·4
 1988 08 155.6
 1988 09 35·4
 1988 10 335.4
 1988 11 725·3
 1988 12 255.3
 1989 01  825.4
 1989 02  975.2
 1989 03  895·0
 1989 04  695·2
 1989 05  945·2
 1989 06  385·3
 1989 07  975.2
 1989 08  165.2
 1989 09  405.3
 1989 10  885·3
 1989 11  605.4
 1989 12  595.4
 1990 01 435.4
 1990 02 45.3
 1990 03 675·2
 1990 04 185·4
 1990 05 565.4
 1990 06 675.2
 1990 07 305·5
 1990 08 375·7
 1990 09 535.9
 1990 10 855·9
 1990 11 866·2
 1990 12 866·3
 1991 01  356.4
 1991 02  886·6
 1991 03  06·8
 1991 04  576.7
 1991 05  276.9
 1991 06  336.9
 1991 07  586.8
 1991 08  716·9
 1991 09  796·9
 1991 10  17.0
 1991 11  737.0
 1991 12  727.3
 1992 01 677·3
 1992 02 17·4
 1992 03 847·4
 1992 04 287.4
 1992 05 927.6
 1992 06 627·8
 1992 07 537.7
 1992 08 347·6
 1992 09 787·6
 1992 10 437·3
 1992 11 697·4
 1992 12 97·4
 1993 01  767·3
 1993 02  237·1
 1993 03  447·0
 1993 04  977·1
 1993 05  627.1
 1993 06  117·0
 1993 07  156·9
 1993 08  676.8
 1993 09  356.7
 1993 10  386·8
 1993 11  476.6
 1993 12  146.5
 1994 01 226.6
 1994 02 596.6
 1994 03 266.5
 1994 04 566.4
 1994 05 726.1
 1994 06 586.1
 1994 07 666.1
 1994 08 386·0
 1994 09 615·9
 1994 10 415·8
 1994 11 55·6
 1994 12 295·5
 1995 01  905.6
 1995 02  385.4
 1995 03  55·4
 1995 04  235·8
 1995 05  835.6
 1995 06  85·6
 1995 07  545·7
 1995 08  395.7
 1995 09  925.6
 1995 10  315·5
 1995 11  665.6
 1995 12  215·6
 1996 01 915.6
 1996 02 145·5
 1996 03 775·5
 1996 04 385.6
 1996 05 815.6
 1996 06 905.3
 1996 07 525.5
 1996 08 855·1
 1996 09 875.2
 1996 10 135.2
 1996 11 785.4
 1996 12 815·4
 1997 01  605·3
 1997 02  675.2
 1997 03  675·2
 1997 04  705.1
 1997 05  764.9
 1997 06  575·0
 1997 07  584·9
 1997 08  204·8
 1997 09  334.9
 1997 10  164·7
 1997 11  144·6
 1997 12  264.7
 1998 01 594.6
 1998 02 04.6
 1998 03 224.7
 1998 04 84.3
 1998 05 34·4
 1998 06 914·5
 1998 07 964.5
 1998 08 94·5
 1998 09 414.6
 1998 10 954·5
 1998 11 734.4
 1998 12 994·4
 1999 01  724.3
 1999 02  444·4
 1999 03  164·2
 1999 04  714.3
 1999 05  244·2
 1999 06  944.3
 1999 07  134.3
 1999 08  454·2
 1999 09  454·2
 1999 10  284·1
 1999 11  774.1
 1999 12  654·0
 2000 01 114.0
 2000 02 514·1
 2000 03 454·0
 2000 04 03·8
 2000 05 234·0
 2000 06 964·0
 2000 07 824.0
 2000 08 444·1
 2000 09 63.9
 2000 10 203.9
 2000 11 743.9
 2000 12 173·9
 2001 01  104·2
 2001 02  34.2
 2001 03  344.3
 2001 04  624.4
 2001 05  114·3
 2001 06  524.5
 2001 07  14.6
 2001 08  494.9
 2001 09  105.0
 2001 10  05·3
 2001 11  375·5
 2001 12  715.7
 2002 01 315.7
 2002 02 25·7
 2002 03 315·7
 2002 04 495.9
 2002 05 255.8
 2002 06 405.8
 2002 07 945.8
 2002 08 255·7
 2002 09 675·7
 2002 10 225.7
 2002 11 655.9
 2002 12 706·0
 2003 01  585.8
 2003 02  785·9
 2003 03  85·9
 2003 04  776·0
 2003 05  236.1
 2003 06  666.3
 2003 07  86·2
 2003 08  656·1
 2003 09  136·1
 2003 10  666·0
 2003 11  815.8
 2003 12  795.7
 2004 01 35·7
 2004 02 865.6
 2004 03 635·8
 2004 04 885.6
 2004 05 935·6
 2004 06 575·6
 2004 07 175.5
 2004 08 865·4
 2004 09 85.4
 2004 10 365.5
 2004 11 325·4
 2004 12 925.4
 2005 01  05·3
 2005 02  55.4
 2005 03  205·2
 2005 04  505·2
 2005 05  435·1
 2005 06  705.0
 2005 07  195·0
 2005 08  294·9
 2005 09  395.0
 2005 10  625·0
 2005 11  925.0
 2005 12  244.9
 2006 01 114.7
 2006 02 394.8
 2006 03 264.7
 2006 04 534.7
 2006 05 114.6
 2006 06 824.6
 2006 07 364·7
 2006 08 614·7
 2006 09 154·5
 2006 10 974·4
 2006 11 584.5
 2006 12 174·4
 2007 01  214.6
 2007 02  174.5
 2007 03  554·4
 2007 04  154.5
 2007 05  574.4
 2007 06  984.6
 2007 07  164·7
 2007 08  744.6
 2007 09  714·7
 2007 10  224·7
 2007 11  544.7
 2007 12  395·0
 2008 01 415·0
 2008 02 944·9
 2008 03 55·1
 2008 04 785·0
 2008 05 655·4
 2008 06 485·6
 2008 07 345.8
 2008 08 856·1
 2008 09 706·1
 2008 10 396·5
 2008 11 276·8
 2008 12 807.3
 2009 01  57.8
 2009 02  498·3
 2009 03  998·7
 2009 04  79.0
 2009 05  479·4
 2009 06  869·5
 2009 07  869.5
 2009 08  359·6
 2009 09  969·8
 2009 10  7910.0
 2009 11  529.9
 2009 12  599.9
 2010 01 769.8
 2010 02 879·8
 2010 03 849.9
 2010 04 969.9
 2010 05 389.6
 2010 06 909.4
 2010 07 969·4
 2010 08 929.5
 2010 09 599·5
 2010 10 969.4
 2010 11 259·8
 2010 12 169·3
 2011 01  379·1
 2011 02  369·0
 2011 03  349·0
 2011 04  619.1
 2011 05  999·0
 2011 06  669·1
 2011 07  129.0
 2011 08  479·0
 2011 09  959·0
 2011 10  698·8
 2011 11  708.6
 2011 12  188.5
 2012 01 18·3
 2012 02 518·3
 2012 03 478·2
 2012 04 438·2
 2012 05 168·2
 2012 06 438·2
 2012 07 68.2
 2012 08 178.1
 2012 09 667.8
 2012 10 27·8
 2012 11 357·7
 2012 12 587·9
 2013 01  18·0
 2013 02  117.7
 2013 03  467.5
 2013 04  107.6
 2013 05  987·5
 2013 06  747·5
 2013 07  787.3
 2013 08  437.2
 2013 09  557.2
 2013 10  257·2
 2013 11  936.9
 2013 12  516.7
 2014 01 06.6
 2014 02 206.7
 2014 03 796·7
 2014 04 536.3
 2014 05 816.3
 2014 06 406·1
 2014 07 496.2
 2014 08 936·2
 2014 09 755.9
 2014 10 935·7
 2014 11 425.8
 2014 12 405.6
 2015 01  815·7
 2015 02  95.5
 2015 03  195.5
 2015 04  895·4
 2015 05  265.5
 2015 06  455.3
 2015 07  695·2
 2015 08  585.1
 2015 09  605·0
 2015 10  835·0
 2015 11  55·0
 2015 12  925·0
 2016 01 574.9
 2016 02 304.9
 2016 03 645·0
 2016 04 605.0
 2016 05 194.7
 2016 06 174·9
 2016 07 104·9
 2016 08 564·9
 2016 09 705·0
 2016 10 14·9
 2016 11 304·6
 2016 12 994·7
 2017 01  624.8
 2017 02  644.7
 2017 03  374·5
 2017 04  334·4
 2017 05  694.3
 2017 06  124·3
 2017 07  704·3
 2017 08  274.4


 2017 09  934·2
 2017 10  764.1
 2017 11  904.1
 2017 12  764·1
 2018 01 574·1
 2018 02 144.1
 2018 03 864.1
 2018 04 993·9
 2018 05 143.8
 2018 06 74.0
 2018 07 713.9
 2018 08 393.9
 2018 09 373·7
 2018 10 623.7
 2018 11 833·7
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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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or alter the examples after this blank template.







      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
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