Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Labor Force Participation Rate: Men: 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
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
 2012 04 6569·7
 2012 03 7769.9
 2012 02 1469.8
 2012 01 1169.6
 2011 12  2570.2
 2011 11  1670·3
 2011 10  4770·4
 2011 09  970.4
 2011 08  7670·9
 2011 07  7871·2
 2011 06  571.2
 2011 05  3170·6
 2011 04  6970·1
 2011 03  4570.3
 2011 02  270·2
 2011 01  2170.0
 2010 12 7970·4
 2010 11 2570·6
 2010 10 7570·7
 2010 09 4770·9
 2010 08 771.7
 2010 07 4772.1
 2010 06 8871·8
 2010 05 571·3
 2010 04 7871.4
 2010 03 7071.4
 2010 02 2971·0
 2010 01 1370·9
 2009 12  4170·8
 2009 11  7471·2
 2009 10  1071.4
 2009 09  1571.5
 2009 08  7472.4
 2009 07  6773.0
 2009 06  6972.9
 2009 05  8172.3
 2009 04  7671·9
 2009 03  7971.9
 2009 02  6972.1
 2009 01  472.0
 2008 12 7272.3
 2008 11 6872.5
 2008 10 9972.9
 2008 09 472·9
 2008 08 1373.5
 2008 07 1674·3
 2008 06 7073.8
 2008 05 2573·0
 2008 04 7472.6
 2008 03 2872.6
 2008 02 2172·4
 2008 01 3772·6
 2007 12  5672.8
 2007 11  3773.1
 2007 10  1573.0
 2007 09  3272.9
 2007 08  8473·5
 2007 07  9874.3
 2007 06  4074·1
 2007 05  3173.2
 2007 04  873.0
 2007 03  9573.0
 2007 02  872·9
 2007 01  7772·9
 2006 12 473.4
 2006 11 3373·5
 2006 10 5773·5
 2006 09 4073·4
 2006 08 7274·0
 2006 07 4474.4
 2006 06 5174·2
 2006 05 1473.4
 2006 04 3873.1
 2006 03 8573.2
 2006 02 7672.8
 2006 01 1772.6
 2005 12  5272·9
 2005 11  3873.2
 2005 10  4773.3
 2005 09  9573·2
 2005 08  8974.2
 2005 07  874·6
 2005 06  174.3
 2005 05  1673·3
 2005 04  5073.0
 2005 03  2872·9
 2005 02  072·7
 2005 01  7472.4
 2004 12 6073.0
 2004 11 5473.4
 2004 10 3473.3
 2004 09 8973.0
 2004 08 7074·0
 2004 07 6874.6
 2004 06 1474·1
 2004 05 472·9
 2004 04 5572·8
 2004 03 7773·0
 2004 02 7872·8
 2004 01 8973.1
 2003 12  1573·2
 2003 11  1273.4
 2003 10  9073·3
 2003 09  3873.3
 2003 08  7573·8
 2003 07  2974·5
 2003 06  3774·4
 2003 05  7073.3
 2003 04  8773.3
 2003 03  1273·1
 2003 02  3273.3
 2003 01  2973·1
 2002 12 2573·4
 2002 11 6573·5
 2002 10 1474·0
 2002 09 8474.1
 2002 08 9074·6
 2002 07 2175.2
 2002 06 4475·0
 2002 05 3074.2
 2002 04 873·9
 2002 03 3773.9
 2002 02 1173.8
 2002 01 8673·6
 2001 12  2874·0
 2001 11  9374.0
 2001 10  2874.3
 2001 09  9574.3
 2001 08  2674·7
 2001 07  9775.6
 2001 06  3275·2
 2001 05  2774.2
 2001 04  374·3
 2001 03  8174·3
 2001 02  8774.2
 2001 01  7674.3
 2000 12 8374·5
 2000 11 074.4
 2000 10 8174.5
 2000 09 6274.4
 2000 08 1875·5
 2000 07 3875·8
 2000 06 2675.8
 2000 05 2774·6
 2000 04 8274·5
 2000 03 9974·6
 2000 02 5974·7
 2000 01 4274·3
 1999 12  7674.4
 1999 11  1674.4
 1999 10  4574.6
 1999 09  174·4
 1999 08  2675·3
 1999 07  4676.1
 1999 06  7175.7
 1999 05  2274·7
 1999 04  8174.2
 1999 03  7074·3
 1999 02  5074.3
 1999 01  5174·2
 1998 12 1874·6
 1998 11 9574·7
 1998 10 2074·8
 1998 09 5574·7
 1998 08 3675·4
 1998 07 5276·4
 1998 06 4375·9
 1998 05 2974·9
 1998 04 6174.5
 1998 03 9874·5
 1998 02 874.2
 1998 01 9374.1
 1997 12  4474.5
 1997 11  1674·8
 1997 10  2774.8
 1997 09  9074.6
 1997 08  5975·8
 1997 07  1076·4
 1997 06  3976.1
 1997 05  9075·0
 1997 04  874·6
 1997 03  1374·7
 1997 02  574·2
 1997 01  8674·1
 1996 12 1574.4
 1996 11 8374·6
 1996 10 1575·0
 1996 09 9874.7
 1996 08 3175.7
 1996 07 9976·7
 1996 06 8176·1
 1996 05 7175.1
 1996 04 3174·5
 1996 03 6974.5
 1996 02 4174.1
 1996 01 7273·8
 1995 12  1674.2
 1995 11  2574.3
 1995 10  5774.7
 1995 09  9774.7
 1995 08  1175·7
 1995 07  2376.4
 1995 06  1876.1
 1995 05  6474·9
 1995 04  6674·8
 1995 03  4574.8
 1995 02  3774.6
 1995 01  1774.5
 1994 12 5774.9
 1994 11 9874·9
 1994 10 5175.2
 1994 09 2774·8
 1994 08 8575.9
 1994 07 1376.4
 1994 06 2375.9
 1994 05 8674·8
 1994 04 7474.4
 1994 03 4674.4
 1994 02 4274.5
 1994 01 1474·5
 1993 12  7674.7
 1993 11  8074·9
 1993 10  2075·2
 1993 09  5575·1
 1993 08  6476·5
 1993 07  2177·2
 1993 06  9476·8
 1993 05  7975·5
 1993 04  4174·8
 1993 03  075·1
 1993 02  2974·9
 1993 01  7874.6
 1992 12 3175·1
 1992 11 7575.3
 1992 10 1275·4
 1992 09 7475·8
 1992 08 8476.9
 1992 07 2777.6
 1992 06 5577.4
 1992 05 975.9
 1992 04 7675.3
 1992 03 6375.3
 1992 02 9675.1
 1992 01 5375·0
 1991 12  874.9
 1991 11  1475.3
 1991 10  9975·4
 1991 09  075·7
 1991 08  476.5
 1991 07  3677·4
 1991 06  5277.1
 1991 05  6975.6
 1991 04  1675·5
 1991 03  1375·6
 1991 02  6775·3
 1991 01  475.1
 1990 12 1875.8
 1990 11 4976·0
 1990 10 8276·1
 1990 09 7576.1
 1990 08 1277.3
 1990 07 7778·0
 1990 06 5977.6
 1990 05 7576.3
 1990 04 2175.9
 1990 03 5475·9
 1990 02 8875·7
 1990 01 2375·7
 1989 12  9775·9
 1989 11  6176·2
 1989 10  8176·3
 1989 09  6576.0
 1989 08  1677·7
 1989 07  578.3
 1989 06  7578·0
 1989 05  6976·1
 1989 04  7775.8
 1989 03  1775·6
 1989 02  3475.5
 1989 01  2875·4
 1988 12 575.5
 1988 11 5475.9
 1988 10 4576.0
 1988 09 6376.0
 1988 08 5377.7
 1988 07 9778.1
 1988 06 2277.5
 1988 05 1776.0
 1988 04 9375·6
 1988 03 5475.3
 1988 02 275·3
 1988 01 6075.3
 1987 12  2875.5
 1987 11  5675.8
 1987 10  4876·0
 1987 09  8575.8
 1987 08  8277.5
 1987 07  6077·9
 1987 06  4877·4
 1987 05  1376·2
 1987 04  775.5
 1987 03  4775·5
 1987 02  1575·5
 1987 01  8675·5
 1986 12 7675.8
 1986 11 2376·0
 1986 10 8775·9
 1986 09 7476.1
 1986 08 9177.4
 1986 07 2278·2
 1986 06 2777·7
 1986 05 7176.1
 1986 04 7775.5
 1986 03 9875.6
 1986 02 2275·4
 1986 01 9775.3
 1985 12  8575.5
 1985 11  3475·9
 1985 10  8576.2
 1985 09  9576·1
 1985 08  8977.5
 1985 07  3778.2
 1985 06  5577.6
 1985 05  3576.2
 1985 04  9075.7
 1985 03  3775·6
 1985 02  9575·2
 1985 01  1175.4
 1984 12 1475.9
 1984 11 9376·0
 1984 10 9176·1
 1984 09 4176·3
 1984 08 1177·6
 1984 07 8478.5
 1984 06 5878·1
 1984 05 7176.1
 1984 04 5775·6
 1984 03 1975.5
 1984 02 3275·3
 1984 01 6975.3
 1983 12  5175·8
 1983 11  2876·0
 1983 10  7776·0
 1983 09  2976·2
 1983 08  1978·0
 1983 07  6978·8
 1983 06  8178.3
 1983 05  7075.9
 1983 04  1275·5
 1983 03  2375.5
 1983 02  5775.4
 1983 01  3775.4
 1982 12 575·9
 1982 11 9676.2
 1982 10 4276·3
 1982 09 9976.2
 1982 08 9877.9
 1982 07 2078·6
 1982 06 078·0
 1982 05 5076.7
 1982 04 1776.0
 1982 03 5276·0
 1982 02 1775·7
 1982 01 975·8
 1981 12  1276·1
 1981 11  7476.2
 1981 10  876.5
 1981 09  2076·4
 1981 08  5978.4
 1981 07  9279·0
 1981 06  1078·3
 1981 05  5377·1
 1981 04  5776·7
 1981 03  3776.6
 1981 02  8676·2
 1981 01  176.3
 1980 12 3276.4
 1980 11 6776·8
 1980 10 2477.1
 1980 09 8376.9
 1980 08 3678·8
 1980 07 6379.8
 1980 06 3779.1
 1980 05 4477·2
 1980 04 4276·7
 1980 03 3276·7
 1980 02 6276.7
 1980 01 5376.7
 1979 12  5277.1
 1979 11  577.2
 1979 10  6377·5
 1979 09  477·7
 1979 08  9179.3
 1979 07  3980.3
 1979 06  2779.6
 1979 05  1777·2
 1979 04  877·0
 1979 03  1677·1
 1979 02  6777.0
 1979 01  3477.1
 1978 12 8177.5
 1978 11 4177.6
 1978 10 2277·7
 1978 09 2677·4
 1978 08 879·6
 1978 07 4880·2
 1978 06 5479·8
 1978 05 8777·3
 1978 04 1677·0
 1978 03 9276·8
 1978 02 5076·6
 1978 01 3576·8
 1977 12  5577·3
 1977 11  5677.5
 1977 10  2577.7
 1977 09  1577·1
 1977 08  079.4
 1977 07  4580.0
 1977 06  1579.6
 1977 05  9777.0
 1977 04  5176·7
 1977 03  9276·6
 1977 02  8476.6
 1977 01  7376.4
 1976 12 3576·9
 1976 11 5377.1
 1976 10 2077·3
 1976 09 6477.2
 1976 08 079.4
 1976 07 980·1
 1976 06 3479.2
 1976 05 1376.9
 1976 04 2476·9
 1976 03 6876.4
 1976 02 6776·3
 1976 01 8976.4
 1975 12  676.5
 1975 11  6176·8
 1975 10  7977.2
 1975 09  8877·4
 1975 08  7179.7
 1975 07  4580·6
 1975 06  6079.8
 1975 05  2777·6
 1975 04  7077·3
 1975 03  077.3
 1975 02  2177.1
 1975 01  5177·3
 1974 12 7877.6
 1974 11 3578·0
 1974 10 178·5
 1974 09 2978.5
 1974 08 9680.4
 1974 07 8181·1
 1974 06 6480.7
 1974 05 5678.2
 1974 04 4977.8
 1974 03 9377·9
 1974 02 9578.0
 1974 01 5078.1
 1973 12  8878.3
 1973 11  5578.4
 1973 10  1078·7
 1973 09  5678·5
 1973 08  8880.6
 1973 07  7281·6
 1973 06  4580·9
 1973 05  4278·0
 1973 04  4878.1
 1973 03  7678.1
 1973 02  6377.5
 1973 01  377.1
 1972 12 9678·1
 1972 11 2478·2
 1972 10 5278·6
 1972 09 5878·7
 1972 08 8081.1
 1972 07 9781.6
 1972 06 2581.1
 1972 05 5178·2
 1972 04 7778.2
 1972 03 278.2
 1972 02 2177.7
 1972 01 5277·7
 1971 12  8778.2
 1971 11  7178.4
 1971 10  178·5
 1971 09  5378.6
 1971 08  3581·3
 1971 07  6182.0
 1971 06  5480·9
 1971 05  7678·7
 1971 04  7278·5
 1971 03  5278·1
 1971 02  9378·1
 1971 01  6378.3
 1970 12 7278·7
 1970 11 5278·8
 1970 10 5678.9
 1970 09 8479·1
 1970 08 3781.5
 1970 07 9282.4
 1970 06 581·8
 1970 05 3379·3
 1970 04 9279·2
 1970 03 3079.1
 1970 02 2878.8
 1970 01 2978·5
 1969 12  8778·8
 1969 11  4579·1
 1969 10  3879.4
 1969 09  1679.7
 1969 08  9782.3
 1969 07  4682·7
 1969 06  7482·0
 1969 05  6379·1
 1969 04  2379.1
 1969 03  6478·9
 1969 02  9778·7
 1969 01  6578.3
 1968 12 9179.0
 1968 11 5579·0
 1968 10 9779·3
 1968 09 4179.5
 1968 08 5182.6
 1968 07 183·2
 1968 06 8582.8
 1968 05 3579.7
 1968 04 7779.4
 1968 03 1079·0
 1968 02 079.0
 1968 01 1578.4
 1967 12  7179.4
 1967 11  1179.6
 1967 10  579·9
 1967 09  7780·0
 1967 08  5883.0
 1967 07  6283.6
 1967 06  8783.0
 1967 05  3979.8
 1967 04  8979.6
 1967 03  4679·2
 1967 02  5979.2
 1967 01  4579.0
 1966 12 3879.5
 1966 11 6779.7
 1966 10 6079·8
 1966 09 6479·9
 1966 08 682.9
 1966 07 5983·4
 1966 06 5183.0
 1966 05 9280.1
 1966 04 1879·9
 1966 03 7779.2
 1966 02 2278·9
 1966 01 4678.8
 1965 12  2579.5
 1965 11  379·6
 1965 10  8580·1
 1965 09  7180.1
 1965 08  382.8
 1965 07  4483·6
 1965 06  7883·0
 1965 05  3681·1
 1965 04  5180·3
 1965 03  3279·7
 1965 02  6379.7
 1965 01  3579·2
 1964 12 9679.7
 1964 11 2280·1
 1964 10 2980.5
 1964 09 8880.9
 1964 08 8682.9
 1964 07 9883.5
 1964 06 8883.2
 1964 05 3881.3
 1964 04 9980·7
 1964 03 6580·0
 1964 02 7979·9
 1964 01 5579.6
 1963 12  3380.1
 1963 11  5580.7
 1963 10  6480.8
 1963 09  3381·2
 1963 08  1683·1
 1963 07  2583.7
 1963 06  3183·4
 1963 05  9081.2
 1963 04  9680·9
 1963 03  5680·6
 1963 02  9380.4
 1963 01  7280·1
 1962 12 5080·6
 1962 11 5581·0
 1962 10 8881.4
 1962 09 4681.8
 1962 08 7783.7
 1962 07 5483.9
 1962 06 7984.1
 1962 05 882.2
 1962 04 481.4
 1962 03 981.6
 1962 02 5481.4
 1962 01 7780.8
 1961 12  8081.6
 1961 11  282.1
 1961 10  2582.2
 1961 09  9682.3
 1961 08  8184.5
 1961 07  4084.9
 1961 06  3185·1
 1961 05  3582.8
 1961 04  782·3
 1961 03  5482·4
 1961 02  3482·2
 1961 01  8882·2
 1960 12 8482.5
 1960 11 083·1
 1960 10 2383.0
 1960 09 7483·3
 1960 08 6284.9
 1960 07 6185.3
 1960 06 985.3
 1960 05 3783.2
 1960 04 1783·0
 1960 03 4482.0
 1960 02 3282·2
 1960 01 4682·2
 1959 12  4883·1
 1959 11  7983·0
 1959 10  5483·5
 1959 09  9683·7
 1959 08  8285·2
 1959 07  2385·9
 1959 06  6285.4
 1959 05  583.6
 1959 04  6983·3
 1959 03  5883.0
 1959 02  7182·6
 1959 01  1882·6
 1958 12 8383·1
 1958 11 9283.5
 1958 10 1784·1
 1958 09 584·1
 1958 08 2685.8
 1958 07 5486.3
 1958 06 6385·9
 1958 05 5884·4
 1958 04 2383.9
 1958 03 383·6
 1958 02 9883.3
 1958 01 9783·1
 1957 12  2483.6
 1957 11  1984.0
 1957 10  3484·3
 1957 09  6684·6
 1957 08  586·0
 1957 07  987.0
 1957 06  986·9
 1957 05  3584.9
 1957 04  6684·4
 1957 03  584.2
 1957 02  8783.7
 1957 01  9883.5
 1956 12 3284·3
 1956 11 6484·9
 1956 10 5485·0
 1956 09 7385·3
 1956 08 5487·0
 1956 07 6787·4
 1956 06 2487·4
 1956 05 585.7
 1956 04 785.1
 1956 03 2084.9
 1956 02 3584.6
 1956 01 6384.8
 1955 12  9185·0
 1955 11  5785.6
 1955 10  5085.6
 1955 09  4285.6
 1955 08  3386.9
 1955 07  3287·1
 1955 06  5686·3
 1955 05  5985.0
 1955 04  8284·7
 1955 03  2884.3
 1955 02  6783.9
 1955 01  6084·1
 1954 12 1484.0
 1954 11 5184.8
 1954 10 2085·0
 1954 09 1485.7
 1954 08 2887·1
 1954 07 3387·1
 1954 06 7886·5
 1954 05 1485.5
 1954 04 5285.5
 1954 03 3185.1
 1954 02 2985.3
 1954 01 8084·8
 1953 12  3485.0
 1953 11  2785.7
 1953 10  8685.4
 1953 09  5785.7
 1953 08  5187.5
 1953 07  2687.6
 1953 06  8787.2
 1953 05  1285.8
 1953 04  285·7
 1953 03  6185.7
 1953 02  9585·3
 1953 01  4085.2
 1952 12 1385.6
 1952 11 8885·6
 1952 10 9885.7
 1952 09 6186·2
 1952 08 3587·6
 1952 07 8988·1
 1952 06 887·7
 1952 05 1986·2
 1952 04 4385.7
 1952 03 7085.6
 1952 02 6385.5
 1952 01 8285·5
 1951 12  3786·1
 1951 11  6486.4
 1951 10  2786·7
 1951 09  4586·9
 1951 08  4386·6
 1951 07  2688.0
 1951 06  8787.5
 1951 05  2786·4
 1951 04  1085·8
 1951 03  3985·9
 1951 02  5684.9
 1951 01  7284.7
 1950 12 1585·5
 1950 11 986.1
 1950 10 7286.3
 1950 09 5086·9
 1950 08 5888·2
 1950 07 6788.0
 1950 06 9987.5
 1950 05 5486.0
 1950 04 6485·8
 1950 03 7185·5
 1950 02 2285.4
 1950 01 385.5
 1949 12  8485·6
 1949 11  286·3
 1949 10  5786.2
 1949 09  4286.8
 1949 08  9388·0
 1949 07  6688.2
 1949 06  4087·5
 1949 05  4086.2
 1949 04  9186.0
 1949 03  9685·9
 1949 02  3585·4
 1949 01  9085·2
 1948 12 486.1
 1948 11 4886.4
 1948 10 2886·6
 1948 09 1386·9
 1948 08 8288·5
 1948 07 388.7
 1948 06 3587·8
 1948 05 5285.7
 1948 04 186·0
 1948 03 6885·5
 1948 02 9185·5
 1948 01 7785.2
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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

Input your search text below.
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: 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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap