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 Series Title: Labor Force Participation Rate: Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8170·0
 2012 03 7870.2
 2012 02 670.3
 2012 01 7170.3
 2011 12  970.5
 2011 11  5470·5
 2011 10  4470·5
 2011 09  4470·5
 2011 08  470.4
 2011 07  2970·3
 2011 06  8370.5
 2011 05  1670·6
 2011 04  1670.4
 2011 03  8370.4
 2011 02  3570.5
 2011 01  3070·5
 2010 12 1970·7
 2010 11 2570·9
 2010 10 4070.8
 2010 09 5671·1
 2010 08 1571.3
 2010 07 8471·2
 2010 06 5971.2
 2010 05 8871.4
 2010 04 2971.7
 2010 03 1971.4
 2010 02 8071.2
 2010 01 4671.1
 2009 12  1171.0
 2009 11  1071·5
 2009 10  1771.7
 2009 09  7371·7
 2009 08  3772·0
 2009 07  6572·0
 2009 06  772.3
 2009 05  3872.5
 2009 04  772·3
 2009 03  1572.1
 2009 02  1372.4
 2009 01  3672·4
 2008 12 4772·5
 2008 11 1672·7
 2008 10 2472.9
 2008 09 8673·0
 2008 08 672·9
 2008 07 5073.1
 2008 06 5173.0
 2008 05 3273·1
 2008 04 6172·9
 2008 03 2573.1
 2008 02 3373.1
 2008 01 4373.4
 2007 12  1173.1
 2007 11  7073·1
 2007 10  3372·9
 2007 09  1373.0
 2007 08  8272·8
 2007 07  4473.1
 2007 06  3873·3
 2007 05  6173.2
 2007 04  2573·4
 2007 03  2873.5
 2007 02  6273.6
 2007 01  3273·8
 2006 12 1473·7
 2006 11 2873·5
 2006 10 4273·4
 2006 09 9473.4
 2006 08 5173·4
 2006 07 7773·1
 2006 06 4173·4
 2006 05 4373.5
 2006 04 6073·5
 2006 03 3073·6
 2006 02 4873·5
 2006 01 9673·4
 2005 12  9273.2
 2005 11  6973·2
 2005 10  7573.2
 2005 09  9873.3
 2005 08  2373·5
 2005 07  273.4
 2005 06  5973·4
 2005 05  1973.5
 2005 04  5273·4
 2005 03  5973·2
 2005 02  6573.2
 2005 01  5173.0
 2004 12 673.2
 2004 11 9773·5
 2004 10 7973.3
 2004 09 1673·2
 2004 08 3473.4
 2004 07 9873·5
 2004 06 1573.3
 2004 05 5573.1
 2004 04 1273.1
 2004 03 6973·2
 2004 02 1073.2
 2004 01 4073.7
 2003 12  4073·5
 2003 11  4173·6
 2003 10  2873.4
 2003 09  6473·6
 2003 08  4473.3
 2003 07  7173·4
 2003 06  5573.6
 2003 05  4573.6
 2003 04  7473.6
 2003 03  4073.3
 2003 02  773.7
 2003 01  2973.5
 2002 12 673.6
 2002 11 5573.7
 2002 10 1974·0
 2002 09 8474·4
 2002 08 3974.1
 2002 07 4974·1
 2002 06 5574·2
 2002 05 474·5
 2002 04 074.2
 2002 03 7674·1
 2002 02 374.2
 2002 01 1074.0
 2001 12  3874.3
 2001 11  2074·3
 2001 10  7674.4
 2001 09  4374·5
 2001 08  3074.1
 2001 07  8674·4
 2001 06  1174.3
 2001 05  7574.4
 2001 04  7574.6
 2001 03  774·7
 2001 02  7274·8
 2001 01  9975·0
 2000 12 9974.7
 2000 11 3974·6
 2000 10 4674·5
 2000 09 3474·6
 2000 08 5274·8
 2000 07 6374.5
 2000 06 4774·8
 2000 05 2474.8
 2000 04 974.9
 2000 03 8675.0
 2000 02 1275·3
 2000 01 3975·1
 1999 12  7274·8
 1999 11  4174·6
 1999 10  374·6
 1999 09  7274·6
 1999 08  6574·6
 1999 07  8374.7
 1999 06  1074·7
 1999 05  4374·8
 1999 04  3974.6
 1999 03  9474·7
 1999 02  4574·9
 1999 01  9675·0
 1998 12 6974·9
 1998 11 8175·0
 1998 10 4574.9
 1998 09 075·0
 1998 08 5574.6
 1998 07 7575·0
 1998 06 7474.9
 1998 05 4974·9
 1998 04 2474·8
 1998 03 3374.8
 1998 02 2074.8
 1998 01 6274.9
 1997 12  2574.9
 1997 11  3875·1
 1997 10  9574·9
 1997 09  8474.9
 1997 08  3375.0
 1997 07  9475.0
 1997 06  3875.0
 1997 05  8375.0
 1997 04  5075.1
 1997 03  3575·0
 1997 02  1074·9
 1997 01  5474·9
 1996 12 174·8
 1996 11 1674.9
 1996 10 175.1
 1996 09 1675·0
 1996 08 3574·8
 1996 07 2075·2
 1996 06 2275·0
 1996 05 1375·0
 1996 04 2874.9
 1996 03 5274.9
 1996 02 1374.9
 1996 01 1474·6
 1995 12  8274·6
 1995 11  4574.6
 1995 10  3574.7
 1995 09  1375.0
 1995 08  2074.8
 1995 07  5574.9
 1995 06  7775.0
 1995 05  3074.9
 1995 04  9475.3
 1995 03  6475.3
 1995 02  5275·4
 1995 01  875·4
 1994 12 7875.4
 1994 11 7975·2
 1994 10 9775·2
 1994 09 1775·0
 1994 08 7475.0
 1994 07 3174·8
 1994 06 7574·7
 1994 05 5174.8
 1994 04 774.9
 1994 03 7674·9
 1994 02 7475·1
 1994 01 2875.3
 1993 12  2775·0
 1993 11  9775.1
 1993 10  875·3
 1993 09  9475·2
 1993 08  975·7
 1993 07  075.7
 1993 06  1475·7
 1993 05  1775·6
 1993 04  5475·4
 1993 03  1775·6
 1993 02  5475·4
 1993 01  9275.4
 1992 12 8775·5
 1992 11 475·6
 1992 10 1875.6
 1992 09 3775·9
 1992 08 5876·0
 1992 07 4376·0
 1992 06 1776.2
 1992 05 9676.1
 1992 04 4475.8
 1992 03 4175·8
 1992 02 8975·6
 1992 01 4075.7
 1991 12  4475.4
 1991 11  2975·5
 1991 10  9875.6
 1991 09  6275·8
 1991 08  8475.6
 1991 07  6475·8
 1991 06  3175·8
 1991 05  8075.8
 1991 04  1476.0
 1991 03  2776·1
 1991 02  275·9
 1991 01  4076.0
 1990 12 1076.3
 1990 11 2676·3
 1990 10 4876·2
 1990 09 1076.1
 1990 08 7176.3
 1990 07 9176.3
 1990 06 3176.3
 1990 05 8576.4
 1990 04 2476.4
 1990 03 8076.6
 1990 02 4176·6
 1990 01 8376·7
 1989 12  1976.4
 1989 11  7476·4
 1989 10  9076.5
 1989 09  5076.1
 1989 08  3176·5
 1989 07  7976·5
 1989 06  1576·7
 1989 05  5376·3
 1989 04  6076.5
 1989 03  2976·3
 1989 02  7976.3
 1989 01  8776·4
 1988 12 3276.0
 1988 11 7876·1
 1988 10 7276.1
 1988 09 7176·2
 1988 08 9776·5
 1988 07 976·2
 1988 06 476·2
 1988 05 5076.2
 1988 04 3276.2
 1988 03 2875.9
 1988 02 1576·2
 1988 01 9376.2
 1987 12  3576.1
 1987 11  6776.1
 1987 10  6776·2
 1987 09  9376·0
 1987 08  3276·3
 1987 07  8276·0
 1987 06  4876.1
 1987 05  6976.4
 1987 04  7576.1
 1987 03  5676·2
 1987 02  7176·3
 1987 01  6776.3
 1986 12 3876·3
 1986 11 9576·4
 1986 10 7376.2
 1986 09 5576.3
 1986 08 2176·1
 1986 07 3076.3
 1986 06 1976·3
 1986 05 2776.2
 1986 04 5076.2
 1986 03 1976.2
 1986 02 9576·2
 1986 01 276·2
 1985 12  7676·1
 1985 11  4276.2
 1985 10  1476·4
 1985 09  2576·3
 1985 08  7476·2
 1985 07  776·2
 1985 06  1576·1
 1985 05  6476·3
 1985 04  4476.4
 1985 03  4576·3
 1985 02  6076·2
 1985 01  1576.3
 1984 12 1176·5
 1984 11 1276.4
 1984 10 3876·3
 1984 09 9576·5
 1984 08 2776·3
 1984 07 9176·4
 1984 06 6076.6
 1984 05 4976.3
 1984 04 6576.2
 1984 03 8876·2
 1984 02 6576·2
 1984 01 4676·1
 1983 12  2876·3
 1983 11  3476·5
 1983 10  1776·3
 1983 09  8176·5
 1983 08  4076.7
 1983 07  8776·7
 1983 06  176·8
 1983 05  7276·1
 1983 04  5176·1
 1983 03  2876.0
 1983 02  3376·0
 1983 01  6476.1
 1982 12 3776.5
 1982 11 6376.7
 1982 10 4976.7
 1982 09 2676.7
 1982 08 9976·6
 1982 07 2476.5
 1982 06 1276.5
 1982 05 5177.0
 1982 04 6176·7
 1982 03 6976.6
 1982 02 1176.7
 1982 01 6076.6
 1981 12  7476·6
 1981 11  7776.7
 1981 10  5876.7
 1981 09  9576·6
 1981 08  1476·9
 1981 07  5776.8
 1981 06  9176.7
 1981 05  2777.5
 1981 04  8177·5
 1981 03  4077·3
 1981 02  7277.2
 1981 01  5077.3
 1980 12 077.0
 1980 11 8277.3
 1980 10 9177·3
 1980 09 8277·2
 1980 08 2177·3
 1980 07 6577·5
 1980 06 6077.4
 1980 05 6877.7
 1980 04 2177·5
 1980 03 9677.6
 1980 02 1677·9
 1980 01 7677.8
 1979 12  9977.6
 1979 11  677.5
 1979 10  2277.6
 1979 09  277.9
 1979 08  8177·7
 1979 07  5277·9
 1979 06  6777.8
 1979 05  6477.6
 1979 04  1777·8
 1979 03  1678·0
 1979 02  6478·3
 1979 01  678.2
 1978 12 8378.0
 1978 11 478.0
 1978 10 4977.8
 1978 09 9877.6
 1978 08 7977.8
 1978 07 4877.8
 1978 06 8778.0
 1978 05 3377.8
 1978 04 3077·8
 1978 03 477·7
 1978 02 6477.8
 1978 01 3177.9
 1977 12  8778·0
 1977 11  5578·0
 1977 10  9577.8
 1977 09  3677·3
 1977 08  2677.7
 1977 07  677·6
 1977 06  1677·8
 1977 05  1777·6
 1977 04  4577·5
 1977 03  9077·5
 1977 02  9077.6
 1977 01  6877·3
 1976 12 7277·6
 1976 11 6377·7
 1976 10 777·5
 1976 09 877.5
 1976 08 5677.6
 1976 07 677.6
 1976 06 7877.3
 1976 05 8177.6
 1976 04 7377·7
 1976 03 2777·3
 1976 02 4177·3
 1976 01 5877·4
 1975 12  2377.2
 1975 11  5777.5
 1975 10  5977·6
 1975 09  3177·8
 1975 08  3277.9
 1975 07  5378·1
 1975 06  2077·8
 1975 05  2078·3
 1975 04  4978.1
 1975 03  9678.0
 1975 02  3878.0
 1975 01  6878·3
 1974 12 5178.4
 1974 11 9378.6
 1974 10 4978·6
 1974 09 4678.6
 1974 08 3778.4
 1974 07 7578.4
 1974 06 1778.7
 1974 05 4778·7
 1974 04 3478·6
 1974 03 079·0
 1974 02 3079.3
 1974 01 9179.5
 1973 12  9179·1
 1973 11  4979.0
 1973 10  078·8
 1973 09  2178.6
 1973 08  8478·6
 1973 07  2878.9
 1973 06  6578·8
 1973 05  778.6
 1973 04  1378.9
 1973 03  6979.1
 1973 02  8978·8
 1973 01  4378.4
 1972 12 479·0
 1972 11 2978.8
 1972 10 6078·8
 1972 09 4878.9
 1972 08 779·1
 1972 07 8978·9
 1972 06 8979·0
 1972 05 6578·9
 1972 04 9778·9
 1972 03 5779·1
 1972 02 1578·8
 1972 01 6578·8
 1971 12  7579.1
 1971 11  6379.1
 1971 10  178·9
 1971 09  4279·0
 1971 08  6679.3
 1971 07  6479.3
 1971 06  3578.8
 1971 05  1479.3
 1971 04  2179.3
 1971 03  4378.9
 1971 02  3079·1
 1971 01  2579·4
 1970 12 1579.6
 1970 11 579·5
 1970 10 2379·4
 1970 09 4679.5
 1970 08 4879.4
 1970 07 8279·6
 1970 06 7879·6
 1970 05 6979.9
 1970 04 4680.0
 1970 03 3280.0
 1970 02 8280.0
 1970 01 1579·9
 1969 12  6079·7
 1969 11  3579·8
 1969 10  4879·9
 1969 09  2780·1
 1969 08  6379.9
 1969 07  9879.8
 1969 06  1579.7
 1969 05  7479.5
 1969 04  5879.8
 1969 03  5279·9
 1969 02  4480·0
 1969 01  5179.8
 1968 12 6980·0
 1968 11 5679.8
 1968 10 2579.9
 1968 09 7679·9
 1968 08 4780·3
 1968 07 8980.3
 1968 06 6980.5
 1968 05 9480.1
 1968 04 6780·1
 1968 03 5980.0
 1968 02 1580.2
 1968 01 7479·8
 1967 12  2980·4
 1967 11  9880.4
 1967 10  2580·5
 1967 09  1080·3
 1967 08  6080·6
 1967 07  6280.6
 1967 06  8880·6
 1967 05  2280·3
 1967 04  880.3
 1967 03  3280·2
 1967 02  1680·4
 1967 01  5380.5
 1966 12 5180·5
 1966 11 1580.4
 1966 10 4880.2
 1966 09 7280·2
 1966 08 8780·5
 1966 07 4480.5
 1966 06 4580·5
 1966 05 7480·3
 1966 04 4380.5
 1966 03 7480.4
 1966 02 9780·3
 1966 01 7880.5
 1965 12  6980.5
 1965 11  8780·3
 1965 10  1680·6
 1965 09  2780·3
 1965 08  4080·6
 1965 07  9180.9
 1965 06  3980·5
 1965 05  9281·2
 1965 04  5681.0
 1965 03  1580.7
 1965 02  3080.9
 1965 01  6680.7
 1964 12 4480·6
 1964 11 1880.8
 1964 10 7780.9
 1964 09 6881.1
 1964 08 5380.9
 1964 07 8181·1
 1964 06 9280.9
 1964 05 4381·4
 1964 04 5981.3
 1964 03 1081·0
 1964 02 1481.0
 1964 01 5981.0
 1963 12  6281·0
 1963 11  3781.4
 1963 10  581·3
 1963 09  1281·4
 1963 08  8881·3
 1963 07  1981·5
 1963 06  5381.2
 1963 05  1981·4
 1963 04  8681·5
 1963 03  3881·4
 1963 02  7181.3
 1963 01  2581·4
 1962 12 3381·4
 1962 11 9981·6
 1962 10 9781·7
 1962 09 9982·0
 1962 08 2982.1
 1962 07 3581·7
 1962 06 9382·1
 1962 05 3682·4
 1962 04 9982·0
 1962 03 282·5
 1962 02 4982·5
 1962 01 5482·2
 1961 12  9382.5
 1961 11  8282.7
 1961 10  7682.6
 1961 09  9882·6
 1961 08  8882.9
 1961 07  8282·8
 1961 06  1383.1
 1961 05  3683·0
 1961 04  8282.8
 1961 03  3383·1
 1961 02  2282·9
 1961 01  6483·4
 1960 12 383.4
 1960 11 9283.7
 1960 10 9183.4
 1960 09 9983·5
 1960 08 9983.3
 1960 07 4083·2
 1960 06 3483.3
 1960 05 8783.4
 1960 04 4783.6
 1960 03 8482.8
 1960 02 8783.4
 1960 01 9683.6
 1959 12  4783·9
 1959 11  5683·5
 1959 10  1583.8
 1959 09  2083.9
 1959 08  2483·7
 1959 07  1383·9
 1959 06  483·5
 1959 05  7983.6
 1959 04  2983·9
 1959 03  3583·8
 1959 02  6983·5
 1959 01  1783·8
 1958 12 3783·8
 1958 11 3184.0
 1958 10 4584·6
 1958 09 384·7
 1958 08 4984.6
 1958 07 3084.6
 1958 06 9884·3
 1958 05 3084.6
 1958 04 8984.3
 1958 03 9184·0
 1958 02 1384·0
 1958 01 1984.1
 1957 12  884·5
 1957 11  9484.4
 1957 10  584·4
 1957 09  1384·6
 1957 08  8284·4
 1957 07  4685·1
 1957 06  1185.2
 1957 05  8284.9
 1957 04  1185·0
 1957 03  8085·2
 1957 02  9585·0
 1957 01  1984.8
 1956 12 2185·0
 1956 11 5085.2
 1956 10 4385·0
 1956 09 4485.2
 1956 08 6185.4
 1956 07 4085.5
 1956 06 6985.7
 1956 05 185·8
 1956 04 785·6
 1956 03 5685·8
 1956 02 1185.9
 1956 01 5886.1
 1955 12  6085·9
 1955 11  2985·8
 1955 10  3185·7
 1955 09  1185·6
 1955 08  4585.4
 1955 07  1785.3
 1955 06  1884.8
 1955 05  7985.1
 1955 04  1385.2
 1955 03  085.0
 1955 02  8584.8
 1955 01  485.0
 1954 12 3884·8
 1954 11 8585.2
 1954 10 6985.5
 1954 09 5786.0
 1954 08 2185·9
 1954 07 585.4
 1954 06 3385.3
 1954 05 3285.7
 1954 04 8886·0
 1954 03 1585·6
 1954 02 6586.2
 1954 01 4885·8
 1953 12  8885·8
 1953 11  9785·9
 1953 10  7885·4
 1953 09  4985.4
 1953 08  9885·7
 1953 07  5985·9
 1953 06  1085.8
 1953 05  485·8
 1953 04  1886·3
 1953 03  3186·8
 1953 02  2386·8
 1953 01  786.5
 1952 12 7386.4
 1952 11 7085.6
 1952 10 785·6
 1952 09 7785·9
 1952 08 1385·9
 1952 07 5886.3
 1952 06 7386·4
 1952 05 6086·4
 1952 04 1486·3
 1952 03 186.5
 1952 02 5987.0
 1952 01 2286.8
 1951 12  7686.8
 1951 11  3286.5
 1951 10  2986·8
 1951 09  6086.4
 1951 08  2584.8
 1951 07  686.3
 1951 06  7086·4
 1951 05  9286·6
 1951 04  1186.3
 1951 03  686·9
 1951 02  9586·3
 1951 01  6186·0
 1950 12 1086.3
 1950 11 3886.3
 1950 10 4286.4
 1950 09 3886·5
 1950 08 2186·5
 1950 07 3486·1
 1950 06 7486·2
 1950 05 1786.3
 1950 04 7186.2
 1950 03 5085.9
 1950 02 7886.1
 1950 01 1686·2
 1949 12  986·6
 1949 11  6886·8
 1949 10  6987·4
 1949 09  7986·6
 1949 08  1186.6
 1949 07  9486·1
 1949 06  8386·2
 1949 05  7786.6
 1949 04  7786·6
 1949 03  6186.5
 1949 02  8386·6
 1949 01  286.5
 1948 12 3486·9
 1948 11 2586·5
 1948 10 5886.6
 1948 09 7586·3
 1948 08 3086·7
 1948 07 6786·7
 1948 06 2086.6
 1948 05 3986·1
 1948 04 4286.6
 1948 03 9586.3
 1948 02 787.0
 1948 01 6386.7
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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: Labor Force Participation Rate: Men: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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Make charts for Okun's Law and Phillip's Curve

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