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 Series Title: Labor Force Participation Rate: Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8057.5
 2012 03 2557.7
 2012 02 9857.8
 2012 01 1557·5
 2011 12  1657·7
 2011 11  4157·9
 2011 10  3558·3
 2011 09  6958·3
 2011 08  058.1
 2011 07  3858·3
 2011 06  5358.2
 2011 05  358·0
 2011 04  8258·1
 2011 03  9558.1
 2011 02  6758·0
 2011 01  6258·1
 2010 12 3758.2
 2010 11 2158·5
 2010 10 1458.5
 2010 09 1358.6
 2010 08 6658·6
 2010 07 4658·8
 2010 06 5658·8
 2010 05 5158.6
 2010 04 9458·7
 2010 03 2858.6
 2010 02 8358.6
 2010 01 9758.7
 2009 12  7258·5
 2009 11  4858.9
 2009 10  558·9
 2009 09  9258.9
 2009 08  7459·3
 2009 07  1259·9
 2009 06  6359.9
 2009 05  859·2
 2009 04  259·3
 2009 03  5259·3
 2009 02  1859·3
 2009 01  3759.2
 2008 12 8159·5
 2008 11 2559.6
 2008 10 5859.7
 2008 09 059·4
 2008 08 6059.7
 2008 07 1359.8
 2008 06 9659·8
 2008 05 3959·4
 2008 04 1759.3
 2008 03 2259·3
 2008 02 7059.1
 2008 01 2559.2
 2007 12  5059·5
 2007 11  8359.6
 2007 10  4359.4
 2007 09  5259·5
 2007 08  8559.2
 2007 07  5459.7
 2007 06  459·5
 2007 05  3758·9
 2007 04  7358.8
 2007 03  1659·2
 2007 02  6359·2
 2007 01  2759·3
 2006 12 8959.6
 2006 11 7659.7
 2006 10 6159.6
 2006 09 9059·3
 2006 08 3459.5
 2006 07 6560.0
 2006 06 5959.7
 2006 05 1959·1
 2006 04 3259.0
 2006 03 4058.9
 2006 02 4559·1
 2006 01 3558·9
 2005 12  3559·3
 2005 11  8359.5
 2005 10  3359.7
 2005 09  8159·5
 2005 08  1759.3
 2005 07  059.6
 2005 06  6059·3
 2005 05  2759·2
 2005 04  7959·0
 2005 03  2258.8
 2005 02  8959·0
 2005 01  6658.9
 2004 12 4759.2
 2004 11 859.2
 2004 10 859·2
 2004 09 1859.0
 2004 08 7059·0
 2004 07 3759·5
 2004 06 3059.5
 2004 05 2759·1
 2004 04 2559.0
 2004 03 1759.2
 2004 02 9259·2
 2004 01 6158·9
 2003 12  1159.0
 2003 11  8059.3
 2003 10  5859.4
 2003 09  1659·1
 2003 08  5459.5
 2003 07  8259·7
 2003 06  1660·1
 2003 05  1059.5
 2003 04  559·5
 2003 03  459·7
 2003 02  7859.6
 2003 01  8859.6
 2002 12 3859.5
 2002 11 5459.6
 2002 10 8359·7
 2002 09 1859·6
 2002 08 5559.6
 2002 07 6359.7
 2002 06 9259.8
 2002 05 9559.4
 2002 04 8059.6
 2002 03 8859.8
 2002 02 9559·9
 2002 01 3859·3
 2001 12  6359·7
 2001 11  1059·8
 2001 10  459·7
 2001 09  9059.5
 2001 08  8259·4
 2001 07  3659·9
 2001 06  5759.9
 2001 05  2259.6
 2001 04  3459·6
 2001 03  9760.3
 2001 02  1660·1
 2001 01  2759.9
 2000 12 4760·0
 2000 11 5159.9
 2000 10 7059·8
 2000 09 2559·6
 2000 08 7159.6
 2000 07 7860·0
 2000 06 3260.3
 2000 05 5959·9
 2000 04 8060.1
 2000 03 8660·2
 2000 02 3960·0
 2000 01 9959.9
 1999 12  7660·2
 1999 11  660·2
 1999 10  5460·1
 1999 09  3859.9
 1999 08  8360.0
 1999 07  9560.3
 1999 06  6660.4
 1999 05  9759.8
 1999 04  5259·8
 1999 03  3460.0
 1999 02  8759.9
 1999 01  1959·8
 1998 12 5960·1
 1998 11 3160.0
 1998 10 5460.0
 1998 09 7259·9
 1998 08 359·9
 1998 07 1660·0
 1998 06 3260·0
 1998 05 5359·6
 1998 04 1159·3
 1998 03 4660·0
 1998 02 759·7
 1998 01 7959.6
 1997 12  3260·1
 1997 11  460.0
 1997 10  9359·9
 1997 09  9459.9
 1997 08  4360.0
 1997 07  9560·4
 1997 06  2860·0
 1997 05  6959.6
 1997 04  4259.3
 1997 03  5159·7
 1997 02  7459·3
 1997 01  9659·2
 1996 12 5759.7
 1996 11 2960·0
 1996 10 2059.8
 1996 09 9659.5
 1996 08 3759.4
 1996 07 1159.8
 1996 06 7759·4
 1996 05 1158.9
 1996 04 5758·6
 1996 03 358·9
 1996 02 8558.6
 1996 01 1258·5
 1995 12  1858.8
 1995 11  3759.4
 1995 10  659.3
 1995 09  9358·9
 1995 08  4559·2
 1995 07  6959.7
 1995 06  2859.1
 1995 05  7258.6
 1995 04  9058·7
 1995 03  8158.6
 1995 02  6358·5
 1995 01  9458.3
 1994 12 2658.7
 1994 11 8059·2
 1994 10 5059.1
 1994 09 2858·9
 1994 08 5559.1
 1994 07 9859·3
 1994 06 5259.1
 1994 05 6858·7
 1994 04 258·3
 1994 03 9058.4
 1994 02 5758·5
 1994 01 3458.2
 1993 12  1758.3
 1993 11  3958·4
 1993 10  7658·2
 1993 09  6857·7
 1993 08  7558·2
 1993 07  5258.6
 1993 06  4958·6
 1993 05  4257·8
 1993 04  7857.2
 1993 03  5957·3
 1993 02  3857.4
 1993 01  4757·3
 1992 12 5057·8
 1992 11 1857.9
 1992 10 3157.7
 1992 09 557.7
 1992 08 4358.3
 1992 07 1158·9
 1992 06 4158·6
 1992 05 5957·6
 1992 04 3057.4
 1992 03 4357.5
 1992 02 657·3
 1992 01 7757.2
 1991 12  1357·4
 1991 11  4657.5
 1991 10  8957.7
 1991 09  5557·3
 1991 08  1757·4
 1991 07  7858·0
 1991 06  7758.0
 1991 05  1157.2
 1991 04  9257·3
 1991 03  2057·0
 1991 02  8357.0
 1991 01  9056·8
 1990 12 1557·2
 1990 11 7857.4
 1990 10 4657.6
 1990 09 6057·5
 1990 08 8457·8
 1990 07 8458.2
 1990 06 2958·0
 1990 05 1657.6
 1990 04 2657·2
 1990 03 9557·3
 1990 02 1857.2
 1990 01 7757.2
 1989 12  9157.5
 1989 11  9258·0
 1989 10  2857·7
 1989 09  8757·5
 1989 08  5557.7
 1989 07  8258.0
 1989 06  9557·7
 1989 05  1657.1
 1989 04  1756.9
 1989 03  9756.8
 1989 02  8356.7
 1989 01  5657.0
 1988 12 357.1
 1988 11 9357.4
 1988 10 8057·2
 1988 09 2856·7
 1988 08 6456.9
 1988 07 5257.0
 1988 06 9956.8
 1988 05 7655.9
 1988 04 7556.0
 1988 03 8156·0
 1988 02 7756·0
 1988 01 6855.9
 1987 12  3656·3
 1987 11  1156·6
 1987 10  7756.7
 1987 09  056.0
 1987 08  7356.5
 1987 07  9856·6
 1987 06  8856·3
 1987 05  8955·9
 1987 04  3655.3
 1987 03  2555.4
 1987 02  2255·1
 1987 01  8154·9
 1986 12 055.3
 1986 11 9955·8
 1986 10 1756·1
 1986 09 4455·6
 1986 08 6655.8
 1986 07 5056.1
 1986 06 3655.9
 1986 05 7255·0
 1986 04 6054·6
 1986 03 3554.7
 1986 02 6754·4
 1986 01 8554·2
 1985 12  3154.8
 1985 11  3755.0
 1985 10  2255·1
 1985 09  2654·8
 1985 08  5554·5
 1985 07  6154.9
 1985 06  4154·5
 1985 05  6654.1
 1985 04  3354·0
 1985 03  3954·3
 1985 02  8453·9
 1985 01  9853.7
 1984 12 9053.9
 1984 11 2954·0
 1984 10 4154·2
 1984 09 4053·7
 1984 08 7654·0
 1984 07 1154.5
 1984 06 2554·1
 1984 05 3853.7
 1984 04 6653.1
 1984 03 9252.9
 1984 02 7252.7
 1984 01 6152.4
 1983 12  6253·1
 1983 11  453.4
 1983 10  4753·4
 1983 09  253·5
 1983 08  8753·5
 1983 07  453·3
 1983 06  3753·3
 1983 05  8152.2
 1983 04  9452·2
 1983 03  7352·3
 1983 02  5452·2
 1983 01  4152.4
 1982 12 5752.9
 1982 11 1853·2
 1982 10 3753·1
 1982 09 5353.0
 1982 08 7653.1
 1982 07 7053.3
 1982 06 4952.9
 1982 05 1052·4
 1982 04 7852·0
 1982 03 8652·0
 1982 02 7851·9
 1982 01 3151·6
 1981 12  1152.1
 1981 11  4852·7
 1981 10  3652·7
 1981 09  6151.9
 1981 08  5352.3
 1981 07  6252·5
 1981 06  6152·3
 1981 05  6852·1
 1981 04  251.9
 1981 03  6151·8
 1981 02  1651.6
 1981 01  4651·4
 1980 12 8651.7
 1980 11 052·0
 1980 10 9052·1
 1980 09 1651·6
 1980 08 5351·6
 1980 07 6151·8
 1980 06 9451.6
 1980 05 2151.1
 1980 04 7951·0
 1980 03 5151.0
 1980 02 6751.1
 1980 01 3051·2
 1979 12  6551.8
 1979 11  251.7
 1979 10  7351·8
 1979 09  3751.3
 1979 08  3651.1
 1979 07  7051·1
 1979 06  9750·9
 1979 05  6150·1
 1979 04  4350·2
 1979 03  3750·7
 1979 02  5550·4
 1979 01  4750·1
 1978 12 6050.8
 1978 11 1050.9
 1978 10 8250.9
 1978 09 6450.5
 1978 08 8950.1
 1978 07 1950.4
 1978 06 4450·4
 1978 05 549.4
 1978 04 5549.3
 1978 03 2349·1
 1978 02 2648·8
 1978 01 9148.8
 1977 12  749·2
 1977 11  149.5
 1977 10  4249.1
 1977 09  6548.9
 1977 08  2248·6
 1977 07  6248.6
 1977 06  3148·8
 1977 05  9647.8
 1977 04  047·8
 1977 03  3748.0
 1977 02  5447.6
 1977 01  7847.2
 1976 12 6547.9
 1976 11 8248.1
 1976 10 047.9
 1976 09 3147.5
 1976 08 7047·7
 1976 07 7847.9
 1976 06 8247.6
 1976 05 9846.6
 1976 04 8946.7
 1976 03 3446.8
 1976 02 3746.6
 1976 01 5046·5
 1975 12  2146·8
 1975 11  8046·8
 1975 10  2947.1
 1975 09  7946.5
 1975 08  9446.6
 1975 07  7246·6
 1975 06  4546.5
 1975 05  545.9
 1975 04  5745·8
 1975 03  9446.0
 1975 02  9945.6
 1975 01  7346·0
 1974 12 8546.1
 1974 11 5046·3
 1974 10 2746·4
 1974 09 5146.0
 1974 08 8045·8
 1974 07 7346·3
 1974 06 9445·9
 1974 05 3445.0
 1974 04 6545·0
 1974 03 2045·2
 1974 02 8645.1
 1974 01 4044.7
 1973 12  9345·5
 1973 11  7245.8
 1973 10  1745.6
 1973 09  1445·0
 1973 08  3744·8
 1973 07  3545·0
 1973 06  2545·2
 1973 05  2544·2
 1973 04  9944·2
 1973 03  4244·2
 1973 02  7344.1
 1973 01  6743.3
 1972 12 444.3
 1972 11 4944·4
 1972 10 4844·5
 1972 09 5943·9
 1972 08 344·0
 1972 07 3844·1
 1972 06 6344·0
 1972 05 4643.5
 1972 04 7043.4
 1972 03 1543·6
 1972 02 5743·4
 1972 01 9643·4
 1971 12  644.1
 1971 11  1244·3
 1971 10  9244.0
 1971 09  443·4
 1971 08  3643·3
 1971 07  8543.3
 1971 06  5543.0
 1971 05  8842.7
 1971 04  1142.7
 1971 03  1743·0
 1971 02  6143.2
 1971 01  9443·2
 1970 12 743.7
 1970 11 1344·1
 1970 10 4744·0
 1970 09 8943.1
 1970 08 2343.3
 1970 07 643·7
 1970 06 7543.4
 1970 05 6942·6
 1970 04 8543.2
 1970 03 5343.2
 1970 02 3443.1
 1970 01 5242.8
 1969 12  4443·6
 1969 11  3443·6
 1969 10  3643·6
 1969 09  8342.8
 1969 08  7542·9
 1969 07  5643.0
 1969 06  2043.2
 1969 05  3042.0
 1969 04  7742.2
 1969 03  5242·1
 1969 02  4842.1
 1969 01  8841.4
 1968 12 7842·2
 1968 11 7742·4
 1968 10 842.0
 1968 09 7641.5
 1968 08 2641·3
 1968 07 1442·0
 1968 06 1342.4
 1968 05 3841·5
 1968 04 9741·0
 1968 03 6841·2
 1968 02 141·3
 1968 01 4340·5
 1967 12  9342.2
 1967 11  7342·2
 1967 10  3542.1
 1967 09  8641.3
 1967 08  3741·1
 1967 07  8341.4
 1967 06  341·4
 1967 05  8540·2
 1967 04  8140.5
 1967 03  8240·2
 1967 02  1740·5
 1967 01  8540·2
 1966 12 041.3
 1966 11 7541·7
 1966 10 1641·2
 1966 09 5440·5
 1966 08 9540·5
 1966 07 9440.4
 1966 06 6240·8
 1966 05 8740.1
 1966 04 9039·6
 1966 03 9639.2
 1966 02 4439.1
 1966 01 439.0
 1965 12  3640.0
 1965 11  6340.1
 1965 10  7340·0
 1965 09  4739.2
 1965 08  839.3
 1965 07  039·7
 1965 06  8940.1
 1965 05  8739·2
 1965 04  838·8
 1965 03  4138·6
 1965 02  5438·4
 1965 01  1737.9
 1964 12 6038·8
 1964 11 4139·0
 1964 10 5539·0
 1964 09 5738.5
 1964 08 1438.6
 1964 07 8238.6
 1964 06 639·6
 1964 05 5139.3
 1964 04 4739.0
 1964 03 7038.4
 1964 02 4538.2
 1964 01 6737.5
 1963 12  5838·2
 1963 11  3839.0
 1963 10  3539.1
 1963 09  138·4
 1963 08  7238·0
 1963 07  4238·4
 1963 06  6238.9
 1963 05  7038.8
 1963 04  4138·2
 1963 03  6437·9
 1963 02  4137·6
 1963 01  2037·1
 1962 12 4037.8
 1962 11 1038·2
 1962 10 1038·5
 1962 09 2038.3
 1962 08 6938·3
 1962 07 1138·0
 1962 06 3038·5
 1962 05 6338.1
 1962 04 5337.6
 1962 03 2537.6
 1962 02 9137.3
 1962 01 6937.0
 1961 12  4337.5
 1961 11  3438·2
 1961 10  438·6
 1961 09  8137·7
 1961 08  1438·0
 1961 07  4338·4
 1961 06  839.3
 1961 05  7038·4
 1961 04  6637.8
 1961 03  8438·4
 1961 02  6537·7
 1961 01  2937.1
 1960 12 2638·0
 1960 11 1538·6
 1960 10 6438.4
 1960 09 7738.5
 1960 08 4337.9
 1960 07 1738·4
 1960 06 1839.0
 1960 05 5838.2
 1960 04 9237·4
 1960 03 9536.3
 1960 02 6436·2
 1960 01 4235.9
 1959 12  7537.2
 1959 11  8337.5
 1959 10  6538.1
 1959 09  2337·3
 1959 08  1737·1
 1959 07  3737·4
 1959 06  937·9
 1959 05  2037.5
 1959 04  6736·9
 1959 03  3836.7
 1959 02  936·0
 1959 01  7636.2
 1958 12 136·9
 1958 11 9237·3
 1958 10 337·8
 1958 09 6237.3
 1958 08 2137·2
 1958 07 3337.3
 1958 06 5437·7
 1958 05 7137.6
 1958 04 5036.9
 1958 03 1536·5
 1958 02 5036·3
 1958 01 2335·9
 1957 12  4037.1
 1957 11  2237·5
 1957 10  337.9
 1957 09  6137.3
 1957 08  6636·6
 1957 07  5837.6
 1957 06  5137.3
 1957 05  5436.9
 1957 04  2836.2
 1957 03  5736.2
 1957 02  5836.1
 1957 01  9835·6
 1956 12 5136·9
 1956 11 7537·5
 1956 10 1138·0
 1956 09 1037.7
 1956 08 8737·1
 1956 07 9337.5
 1956 06 2337·5
 1956 05 3637.3
 1956 04 1036·1
 1956 03 1935·6
 1956 02 3235·3
 1956 01 4435·6
 1955 12  2136·8
 1955 11  8337·3
 1955 10  137.5
 1955 09  2836.9
 1955 08  4536·5
 1955 07  4235·9
 1955 06  1835.6
 1955 05  835·2
 1955 04  3334.8
 1955 03  7833·9
 1955 02  9634·0
 1955 01  2734·0
 1954 12 5934·3
 1954 11 9835.4
 1954 10 7235.6
 1954 09 5635·5
 1954 08 2634.2
 1954 07 3334·1
 1954 06 934·7
 1954 05 8734·8
 1954 04 5634.4
 1954 03 4134.5
 1954 02 9634·2
 1954 01 4033·3
 1953 12  233·7
 1953 11  134·7
 1953 10  4535·3
 1953 09  6034.7
 1953 08  3934·3
 1953 07  2234·5
 1953 06  9435·0
 1953 05  1534.0
 1953 04  6734·0
 1953 03  3534.4
 1953 02  734.0
 1953 01  9934·2
 1952 12 1134.9
 1952 11 9636·3
 1952 10 7035.4
 1952 09 3235.9
 1952 08 2134.6
 1952 07 8734·4
 1952 06 9735.2
 1952 05 5834.8
 1952 04 7433.6
 1952 03 1533.5
 1952 02 2533.9
 1952 01 4633·9
 1951 12  6935·1
 1951 11  1135.5
 1951 10  1935·7
 1951 09  9034.9
 1951 08  3234.8
 1951 07  3335.3
 1951 06  6434.7
 1951 05  1034·8
 1951 04  1433.7
 1951 03  6134.4
 1951 02  7533.4
 1951 01  4833.4
 1950 12 8934·2
 1950 11 235·2
 1950 10 9035.0
 1950 09 7534.1
 1950 08 5834·3
 1950 07 8933·8
 1950 06 7035·1
 1950 05 8533·7
 1950 04 4733·0
 1950 03 7732·6
 1950 02 532·7
 1950 01 9732.5
 1949 12  533·5
 1949 11  4834.5
 1949 10  634.0
 1949 09  5433·8
 1949 08  933.8
 1949 07  933.8
 1949 06  1233.9
 1949 05  2733·3
 1949 04  5931·8
 1949 03  9132.0
 1949 02  8631.8
 1949 01  831·4
 1948 12 7933·0
 1948 11 5233.3
 1948 10 1633·2
 1948 09 1833.6
 1948 08 2133.1
 1948 07 7333.8
 1948 06 1434.4
 1948 05 132·0
 1948 04 6032.1
 1948 03 6031.4
 1948 02 1831.4
 1948 01 2530·7
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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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      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: Women: NSA
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