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 Series Title: Employment-Population Ratio: 25-54 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9869.4
 2012 03 8869.4
 2012 02 3769.0
 2012 01 3168.9
 2011 12  7669·2
 2011 11  8269.2
 2011 10  6369·3
 2011 09  5969.0
 2011 08  9568·3
 2011 07  5068·1
 2011 06  6468·4
 2011 05  6269.1
 2011 04  669·4
 2011 03  7369·4
 2011 02  5469·0
 2011 01  8269·3
 2010 12 8469.7
 2010 11 5769·5
 2010 10 7069.4
 2010 09 8969.3
 2010 08 3068·4
 2010 07 3568.2
 2010 06 7669·1
 2010 05 7769.4
 2010 04 6869.9
 2010 03 6369.7
 2010 02 6069·8
 2010 01 6569.8
 2009 12  5069·5
 2009 11  2370·2
 2009 10  3469.8
 2009 09  9869·8
 2009 08  5169·4
 2009 07  2169·5
 2009 06  3670·0
 2009 05  4470.5
 2009 04  7071·0
 2009 03  8970·8
 2009 02  2971·0
 2009 01  9871.1
 2008 12 3471·9
 2008 11 8472·2
 2008 10 272.3
 2008 09 7972.5
 2008 08 9371.4
 2008 07 8771.5
 2008 06 6672·2
 2008 05 3072.7
 2008 04 2273·0
 2008 03 472.8
 2008 02 6072.6
 2008 01 2272.7
 2007 12  2272.8
 2007 11  6873.0
 2007 10  4772.8
 2007 09  4872·7
 2007 08  1871·9
 2007 07  3671.5
 2007 06  1472·0
 2007 05  2772.6
 2007 04  6072.5
 2007 03  8872.9
 2007 02  7572·6
 2007 01  472·7
 2006 12 2473·1
 2006 11 3273.2
 2006 10 6873.4
 2006 09 4772·7
 2006 08 1172.0
 2006 07 9871.8
 2006 06 5472.0
 2006 05 5172.5
 2006 04 4472.3
 2006 03 4572·5
 2006 02 2372.5
 2006 01 3572·1
 2005 12  7672.6
 2005 11  5272·4
 2005 10  8772.4
 2005 09  4472.3
 2005 08  8171.4
 2005 07  2871·1
 2005 06  8371.2
 2005 05  4572.3
 2005 04  6072.1
 2005 03  372.0
 2005 02  7672·1
 2005 01  3471·9
 2004 12 3872.3
 2004 11 3572.4
 2004 10 5272.3
 2004 09 2972.0
 2004 08 6671.1
 2004 07 571·0
 2004 06 2571.4
 2004 05 7472.1
 2004 04 1972·1
 2004 03 1972·0
 2004 02 3271.9
 2004 01 4071·6
 2003 12  9771.9
 2003 11  972.2
 2003 10  3772·1
 2003 09  1971·6
 2003 08  2571·2
 2003 07  3271.0
 2003 06  2771.8
 2003 05  3272.4
 2003 04  5572.6
 2003 03  7072·7
 2003 02  1572.3
 2003 01  2172·4
 2002 12 6172·7
 2002 11 2972·3
 2002 10 4072.6
 2002 09 5772·3
 2002 08 4471.3
 2002 07 4070·9
 2002 06 6371·6
 2002 05 3472.4
 2002 04 3072.7
 2002 03 6172.9
 2002 02 7373·0
 2002 01 7072.5
 2001 12  6873.1
 2001 11  7373.1
 2001 10  8373·1
 2001 09  973.1
 2001 08  3472.3
 2001 07  8372.3
 2001 06  3072·8
 2001 05  2273·9
 2001 04  2874.1
 2001 03  2274·7
 2001 02  7874.4
 2001 01  174·2
 2000 12 7774.6
 2000 11 4774.5
 2000 10 1574·3
 2000 09 6773·9
 2000 08 2972.7
 2000 07 4072·9
 2000 06 5373·7
 2000 05 6374.6
 2000 04 6275.2
 2000 03 774.9
 2000 02 2974·7
 2000 01 5974·4
 1999 12  7474.8
 1999 11  7975·0
 1999 10  874.9
 1999 09  4874·4
 1999 08  9273.2
 1999 07  1572.8
 1999 06  7773·7
 1999 05  5074.4
 1999 04  6574·0
 1999 03  9474.1
 1999 02  4974.2
 1999 01  974.3
 1998 12 7074·5
 1998 11 2474.2
 1998 10 6274·2
 1998 09 9374·2
 1998 08 673.0
 1998 07 3772·8
 1998 06 7873.1
 1998 05 9873·7
 1998 04 9973·5
 1998 03 8973·7
 1998 02 8673.5
 1998 01 4273.2
 1997 12  074.2
 1997 11  6174.2
 1997 10  9874·4
 1997 09  7074.1
 1997 08  8373.2
 1997 07  6173.0
 1997 06  5273·1
 1997 05  5073·5
 1997 04  4973·6
 1997 03  2073·4
 1997 02  1272.9
 1997 01  7772·9
 1996 12 2473·5
 1996 11 9573.8
 1996 10 6573·7
 1996 09 7073.2
 1996 08 5872·2
 1996 07 6772.0
 1996 06 2372.2
 1996 05 7272.7
 1996 04 2672·6
 1996 03 4372·7
 1996 02 2672·4
 1996 01 5472·1
 1995 12  2973.0
 1995 11  5473·3
 1995 10  3673·0
 1995 09  972·5
 1995 08  9271·3
 1995 07  5871.4
 1995 06  4071.2
 1995 05  5772.3
 1995 04  6572·3
 1995 03  3572.2
 1995 02  5172.2
 1995 01  4171·6
 1994 12 2572·4
 1994 11 9372·7
 1994 10 872·6
 1994 09 3172.2
 1994 08 7070.9
 1994 07 6370.6
 1994 06 7470·5
 1994 05 2071.6
 1994 04 2771.2
 1994 03 271.2
 1994 02 3571.3
 1994 01 2970.8
 1993 12  4771.5
 1993 11  9171.3
 1993 10  671·1
 1993 09  170·4
 1993 08  369·7
 1993 07  3869.6
 1993 06  2470.0
 1993 05  570·6
 1993 04  9870·1
 1993 03  7370.4
 1993 02  5170.0
 1993 01  3569·7
 1992 12 5670·4
 1992 11 5370·7
 1992 10 7770·5
 1992 09 1170.0
 1992 08 2769.3
 1992 07 6169·5
 1992 06 1370.1
 1992 05 7670·7
 1992 04 8770.5
 1992 03 270.0
 1992 02 9870·0
 1992 01 169·9
 1991 12  3770·3
 1991 11  870.5
 1991 10  9470.6
 1991 09  7870·0
 1991 08  169.2
 1991 07  3669·5
 1991 06  8970·0
 1991 05  2870.5
 1991 04  3170·6
 1991 03  6870·0
 1991 02  9770.0
 1991 01  9369.7
 1990 12 170.5
 1990 11 1070·6
 1990 10 5570.9
 1990 09 4470·4
 1990 08 1269.7
 1990 07 9469·9
 1990 06 2570·4
 1990 05 7571.3
 1990 04 9070.9
 1990 03 7670.8
 1990 02 9770.7
 1990 01 470.7
 1989 12  8471.2
 1989 11  3871·6
 1989 10  8371.1
 1989 09  7670·6
 1989 08  7069·1
 1989 07  8769·1
 1989 06  2069.6
 1989 05  6070·5
 1989 04  4970·5
 1989 03  5570.3
 1989 02  7270·4
 1989 01  5070.4
 1988 12 4670.7
 1988 11 9770.9
 1988 10 2670·4
 1988 09 6669·4
 1988 08 1168·3
 1988 07 9668.2
 1988 06 9668·6
 1988 05 5069.5
 1988 04 2069·3
 1988 03 5969.4
 1988 02 1968·7
 1988 01 7468·6
 1987 12  7369·4
 1987 11  1669.5
 1987 10  5869·4
 1987 09  2968·6
 1987 08  9567·3
 1987 07  2567.4
 1987 06  167.7
 1987 05  3768·7
 1987 04  3768·3
 1987 03  6867.9
 1987 02  6167.5
 1987 01  4167·0
 1986 12 7468.0
 1986 11 5067.9
 1986 10 7668·2
 1986 09 967.2
 1986 08 765·7
 1986 07 365·7
 1986 06 865·9
 1986 05 3766.5
 1986 04 6166·4
 1986 03 8566·2
 1986 02 4665.8
 1986 01 4366·1
 1985 12  8766.7
 1985 11  7766.7
 1985 10  366·4
 1985 09  7265.8
 1985 08  5964·1
 1985 07  8563.8
 1985 06  1664.5
 1985 05  9265.2
 1985 04  7965.5
 1985 03  4165·5
 1985 02  4864.9
 1985 01  9864.6
 1984 12 7165·0
 1984 11 265·0
 1984 10 8864.9
 1984 09 964·2
 1984 08 8663.0
 1984 07 4962.9
 1984 06 4763.6
 1984 05 6964.7
 1984 04 9964.0
 1984 03 8963.7
 1984 02 6563·3
 1984 01 4862·7
 1983 12  1163·5
 1983 11  5463·8
 1983 10  363.4
 1983 09  3863·0
 1983 08  4861.3
 1983 07  060.7
 1983 06  5061·0
 1983 05  6061.7
 1983 04  5861·8
 1983 03  961·5
 1983 02  1861.2
 1983 01  5861·0
 1982 12 1961.6
 1982 11 8861·7
 1982 10 4661·8
 1982 09 061.4
 1982 08 3060.1
 1982 07 6860.0
 1982 06 9760·6
 1982 05 8261·5
 1982 04 1761·3
 1982 03 561·6
 1982 02 5861·6
 1982 01 2161.2
 1981 12  3061.9
 1981 11  8262·3
 1981 10  4262.0
 1981 09  6361·1
 1981 08  4559·7
 1981 07  659·7
 1981 06  8760·4
 1981 05  7661.7
 1981 04  6161.7
 1981 03  761·7
 1981 02  5661·2
 1981 01  5460.6
 1980 12 461·1
 1980 11 4261.2
 1980 10 3660.8
 1980 09 1760.5
 1980 08 2658·3
 1980 07 9458·1
 1980 06 4258.9
 1980 05 960·4
 1980 04 060.7
 1980 03 6860.9
 1980 02 1060·6
 1980 01 9860.3
 1979 12  2861.1
 1979 11  9660.7
 1979 10  460.7
 1979 09  8060·1
 1979 08  3457.7
 1979 07  3657·5
 1979 06  1157.6
 1979 05  7258.8
 1979 04  7058·7
 1979 03  6859·0
 1979 02  4458.5
 1979 01  2058·0
 1978 12 1159.1
 1978 11 9959.2
 1978 10 4259.3
 1978 09 9358·1
 1978 08 5655.5
 1978 07 6155·3
 1978 06 6756.1
 1978 05 8457.2
 1978 04 3257.4
 1978 03 1157·3
 1978 02 656·7
 1978 01 1356·1
 1977 12  8956.6
 1977 11  3056.6
 1977 10  7456·2
 1977 09  2355·4
 1977 08  153.2
 1977 07  2553·1
 1977 06  753.7
 1977 05  8555·2
 1977 04  7154·8
 1977 03  2754·6
 1977 02  6954.0
 1977 01  9253.7
 1976 12 2254·6
 1976 11 9354·5
 1976 10 4754.2
 1976 09 6353·4
 1976 08 651·6
 1976 07 551.2
 1976 06 5552.2
 1976 05 4353·1
 1976 04 9753·1
 1976 03 6952·8
 1976 02 3052·3
 1976 01 052.1
 1975 12  9752·4
 1975 11  1852.5
 1975 10  3652·7
 1975 09  2951·5
 1975 08  3049.7
 1975 07  749·2
 1975 06  5949·8
 1975 05  4850·8
 1975 04  4750·9
 1975 03  1850.8
 1975 02  1450·5
 1975 01  350·6
 1974 12 2451.8
 1974 11 5852.1
 1974 10 3752.5
 1974 09 6251·6
 1974 08 6049.8
 1974 07 5950·2
 1974 06 9250.5
 1974 05 1951·6
 1974 04 8151.4
 1974 03 7751.3
 1974 02 6751·0
 1974 01 9350·7
 1973 12  3751·7
 1973 11  9451.9
 1973 10  7451.6
 1973 09  2950·4
 1973 08  548.3
 1973 07  1748.4
 1973 06  5249.2
 1973 05  9650·4
 1973 04  8450·1
 1973 03  7649·9
 1973 02  6349.6
 1973 01  8848.8
 1972 12 9949.9
 1972 11 3049·7
 1972 10 9549.5
 1972 09 2348.6
 1972 08 146·8
 1972 07 5846·6
 1972 06 6247·5
 1972 05 4748·9
 1972 04 6648.8
 1972 03 6949.1
 1972 02 048.7
 1972 01 2848.4
 1971 12  9449·1
 1971 11  9449·3
 1971 10  7448·7
 1971 09  6047·7
 1971 08  1045·7
 1971 07  8945.5
 1971 06  7046.7
 1971 05  6348·0
 1971 04  6547.6
 1971 03  3647·8
 1971 02  247.9
 1971 01  8047.8
 1970 12 3348.5
 1970 11 4148.7
 1970 10 748.6
 1970 09 8247.3
 1970 08 1646·1
 1970 07 3746.3
 1970 06 4947·0
 1970 05 6148·0
 1970 04 3948.6
 1970 03 7948·2
 1970 02 1548.2
 1970 01 3748·2
 1969 12  5249.3
 1969 11  5148·9
 1969 10  1848.9
 1969 09  5547·7
 1969 08  3045·8
 1969 07  5745·7
 1969 06  9746·4
 1969 05  8347·5
 1969 04  7447.3
 1969 03  3047.2
 1969 02  1347.2
 1969 01  1646·7
 1968 12 1047·7
 1968 11 2747·8
 1968 10 5647·3
 1968 09 7246·4
 1968 08 8744.3
 1968 07 2944·6
 1968 06 3745·9
 1968 05 9647.0
 1968 04 8246·4
 1968 03 4246·3
 1968 02 9546·1
 1968 01 5745·4
 1967 12  9447·2
 1967 11  9946.9
 1967 10  9246.9
 1967 09  4945.8
 1967 08  4944.1
 1967 07  5643·9
 1967 06  1744·2
 1967 05  9145.3
 1967 04  9745.3
 1967 03  9544.9
 1967 02  8345.0
 1967 01  2844·7
 1966 12 1446.0
 1966 11 2246·6
 1966 10 2646·2
 1966 09 2845.4
 1966 08 043.0
 1966 07 6943.1
 1966 06 1143·8
 1966 05 8644.7
 1966 04 8144·3
 1966 03 9243.9
 1966 02 2543.6
 1966 01 2043.3
 1965 12  644.4
 1965 11  7444.4
 1965 10  8144·4
 1965 09  7643.4
 1965 08  5242.2
 1965 07  2042·4
 1965 06  1643.2
 1965 05  2143.7
 1965 04  1843·3
 1965 03  6342.9
 1965 02  9442·5
 1965 01  5142.2
 1964 12 3043.1
 1964 11 6043.0
 1964 10 343.2
 1964 09 8442.3
 1964 08 3941.2
 1964 07 9141.1
 1964 06 5642.5
 1964 05 6543.6
 1964 04 1942·9
 1964 03 6342.1
 1964 02 8941.8
 1964 01 6241.2
 1963 12  7242.4
 1963 11  943.2
 1963 10  6743·2
 1963 09  7042.0
 1963 08  2240.4
 1963 07  8440·6
 1963 06  7741.7
 1963 05  842·8
 1963 04  2042·5
 1963 03  7141.8
 1963 02  3341·2
 1963 01  2040.5
 1962 12 4241·3
 1962 11 7541·8
 1962 10 7142·3
 1962 09 7542.0
 1962 08 8740.4
 1962 07 3040.0
 1962 06 5540·9
 1962 05 6841.8
 1962 04 8241.3
 1962 03 9041.1
 1962 02 7240·9
 1962 01 1740.1
 1961 12  7640·7
 1961 11  3941.2
 1961 10  3741.8
 1961 09  6740.5
 1961 08  4539.4
 1961 07  8239·6
 1961 06  8541·2
 1961 05  8641·6
 1961 04  8941.0
 1961 03  5141.0
 1961 02  8240·0
 1961 01  6939.7
 1960 12 3440.6
 1960 11 341.6
 1960 10 1341.6
 1960 09 3641.9
 1960 08 3040·2
 1960 07 2040·4
 1960 06 9341.2
 1960 05 2941.7
 1960 04 5341.1
 1960 03 839·8
 1960 02 5839·7
 1960 01 1939·2
 1959 12  240·5
 1959 11  9840.9
 1959 10  7341.5
 1959 09  9940·6
 1959 08  439·2
 1959 07  4839·6
 1959 06  2540·6
 1959 05  8941.1
 1959 04  940.3
 1959 03  3939·9
 1959 02  2639.4
 1959 01  3339.1
 1958 12 9140.0
 1958 11 7740.4
 1958 10 1540.8
 1958 09 9940.0
 1958 08 5238·9
 1958 07 9538·7
 1958 06 5439·1
 1958 05 8339·9
 1958 04 1739·3
 1958 03 4938·9
 1958 02 3238·6
 1958 01 338·7
 1957 12  3640·4
 1957 11  2140.9
 1957 10  6141.7
 1957 09  340.7
 1957 08  8539.0
 1957 07  1739·5
 1957 06  7939·6
 1957 05  5240·2
 1957 04  6339.6
 1957 03  6839.2
 1957 02  5039·1
 1957 01  4538.0
 1956 12 9739.6
 1956 11 3240.2
 1956 10 6041.1
 1956 09 140.4
 1956 08 3738·8
 1956 07 9138.5
 1956 06 2339.4
 1956 05 6340·1
 1956 04 5838·6
 1956 03 5038·3
 1956 02 7738.2
 1956 01 238·5
 1955 12  6139.2
 1955 11  4239.4
 1955 10  8540.0
 1955 09  1139.4
 1955 08  7038·3
 1955 07  2237·8
 1955 06  3437.9
 1955 05  938·0
 1955 04  3737·5
 1955 03  7436.6
 1955 02  3836·6
 1955 01  4036·2
 1954 12 3736·7
 1954 11 337.5
 1954 10 3337·7
 1954 09 7437.1
 1954 08 7035·3
 1954 07 4035·2
 1954 06 8436.1
 1954 05 537·0
 1954 04 6136·6
 1954 03 4436·8
 1954 02 7936·9
 1954 01 5235·8
 1953 12  6137.0
 1953 11  9538·5
 1953 10  2938.6
 1953 09  5837.3
 1953 08  4636·0
 1953 07  9936·3
 1953 06  7337·2
 1953 05  9437.1
 1953 04  1537·2
 1953 03  9037·6
 1953 02  7437.0
 1953 01  5337.2
 1952 12 9537.8
 1952 11 2238·5
 1952 10 1938·0
 1952 09 5538·3
 1952 08 3436.3
 1952 07 7936.1
 1952 06 2237·5
 1952 05 4337·7
 1952 04 1036·6
 1952 03 6537.0
 1952 02 2136·9
 1952 01 8636.6
 1951 12  2237·7
 1951 11  1437·9
 1951 10  7838.4
 1951 09  8037.1
 1951 08  9636.5
 1951 07  8236·7
 1951 06  8136·0
 1951 05  4237·0
 1951 04  8135·6
 1951 03  5035·6
 1951 02  4335.0
 1951 01  1835.1
 1950 12 5435.8
 1950 11 2636·6
 1950 10 236.8
 1950 09 7635.5
 1950 08 1535.5
 1950 07 4034·6
 1950 06 2136·1
 1950 05 1035.1
 1950 04 8934·4
 1950 03 4933·6
 1950 02 8833.1
 1950 01 4033·0
 1949 12  2734·2
 1949 11  3535.0
 1949 10  1534.6
 1949 09  934·2
 1949 08  433·6
 1949 07  533.6
 1949 06  4134.4
 1949 05  8834.6
 1949 04  2033·3
 1949 03  9133.4
 1949 02  2933·2
 1949 01  6933·1
 1948 12 134.6
 1948 11 4835.0
 1948 10 6635·0
 1948 09 7235.1
 1948 08 9733.5
 1948 07 5834.2
 1948 06 6534.7
 1948 05 4233.2
 1948 04 8433·2
 1948 03 2932·3
 1948 02 6432·2
 1948 01 4731·8
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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: Employment-Population Ratio: 25-54 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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