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 Series Title: Employment-Population Ratio: 25-54 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1948 01 6693·4
 1948 02 3593·1
 1948 03 4493.5
 1948 04 7893.7
 1948 05 4694·1
 1948 06 5694.7
 1948 07 2194·6
 1948 08 8494.2
 1948 09 6694·3
 1948 10 5094.8
 1948 11 7494·4
 1948 12 6293.9
 1949 01  7992.3
 1949 02  9991·9
 1949 03  1592.2
 1949 04  5992·3
 1949 05  5992.1
 1949 06  1192.5
 1949 07  8391·5
 1949 08  4392.0
 1949 09  692.3
 1949 10  1591.4
 1949 11  4192.1
 1949 12  791.5
 1950 01 4690·2
 1950 02 7090·1
 1950 03 7690·6
 1950 04 7291·5
 1950 05 2992·5
 1950 06 5693·3
 1950 07 192·8
 1950 08 8293.6
 1950 09 3294·1
 1950 10 8194·4
 1950 11 5594.4
 1950 12 593·8
 1951 01  5393.3
 1951 02  7593.6
 1951 03  094.5
 1951 04  3594·7
 1951 05  1895·0
 1951 06  9695·0
 1951 07  2494·7
 1951 08  9294.8
 1951 09  7994.8
 1951 10  2695·4
 1951 11  4095.1
 1951 12  2095·2
 1952 01 1094.1
 1952 02 7094.2
 1952 03 8694.8
 1952 04 8995.1
 1952 05 1195·5
 1952 06 6195.6
 1952 07 2495·3
 1952 08 9195·1
 1952 09 895·6
 1952 10 5595·8
 1952 11 4395.6
 1952 12 4795.8
 1953 01  5294·5
 1953 02  3394.7
 1953 03  5595.1
 1953 04  095·0
 1953 05  1895·4
 1953 06  496·1
 1953 07  9996·0
 1953 08  2096.4
 1953 09  695.8
 1953 10  9795.5
 1953 11  3795·4
 1953 12  194·2
 1954 01 4192·6
 1954 02 7092.4
 1954 03 5891.9
 1954 04 6192.5
 1954 05 7492·9
 1954 06 493.6
 1954 07 7393.2
 1954 08 4693·4
 1954 09 8193.4
 1954 10 693·5
 1954 11 2193·8
 1954 12 2493·5
 1955 01  6292·8
 1955 02  892·4
 1955 03  6592.8
 1955 04  8993.2
 1955 05  4194.6
 1955 06  6795.1
 1955 07  9395·2
 1955 08  6195·2
 1955 09  7195.3
 1955 10  6395.4
 1955 11  1895.1
 1955 12  8394·6
 1956 01 2593.7
 1956 02 393·4
 1956 03 7793.6
 1956 04 2594·6
 1956 05 494.5
 1956 06 2094·9
 1956 07 3394.7
 1956 08 8195·0
 1956 09 3494·9
 1956 10 7095·1
 1956 11 7594·7
 1956 12 7093.9
 1957 01  6693·0
 1957 02  3493·3
 1957 03  1493·9
 1957 04  3694·3
 1957 05  7394·8
 1957 06  2095.0
 1957 07  9094·9
 1957 08  4994·8
 1957 09  5894.6
 1957 10  5894·4
 1957 11  6593·6
 1957 12  292.4
 1958 01 4590·9
 1958 02 590.0
 1958 03 2790·1
 1958 04 1490.6
 1958 05 8591.4
 1958 06 4491·7
 1958 07 8891.9
 1958 08 3092·1
 1958 09 5292.8
 1958 10 8093·3
 1958 11 8792.9
 1958 12 2092.1
 1959 01  4891·0
 1959 02  4690·7
 1959 03  8792.0
 1959 04  7693.3
 1959 05  9893·8
 1959 06  9794·1
 1959 07  7594·1
 1959 08  1893·7
 1959 09  5393.7
 1959 10  1693.9
 1959 11  6492·9
 1959 12  9193.1
 1960 01 8691·9
 1960 02 1092·1
 1960 03 9291·6
 1960 04 6393.0
 1960 05 093·7
 1960 06 993·8
 1960 07 2393·3
 1960 08 2993·4
 1960 09 1993.8
 1960 10 7193·5
 1960 11 4393.1
 1960 12 791.6
 1961 01  9490.2
 1961 02  7789.8
 1961 03  6790.6
 1961 04  4291.7
 1961 05  192·0
 1961 06  3492.7
 1961 07  3192.5
 1961 08  492·6
 1961 09  3893.2
 1961 10  7393·5
 1961 11  9993.0
 1961 12  8592·1
 1962 01 3391.1
 1962 02 5291.4
 1962 03 5891·8
 1962 04 692.5
 1962 05 3593·6
 1962 06 5193.6
 1962 07 2293·4
 1962 08 1093.6
 1962 09 2093.9
 1962 10 7794.2
 1962 11 2893.6
 1962 12 6792.6
 1963 01  8891.4
 1963 02  6391.2
 1963 03  3992.0
 1963 04  7092.8
 1963 05  6493·4
 1963 06  6493.9
 1963 07  4393·7
 1963 08  3993·7
 1963 09  094·2
 1963 10  6294·1
 1963 11  5493.6
 1963 12  1993·0
 1964 01 7092·1
 1964 02 6592·5
 1964 03 892.8
 1964 04 7793.7
 1964 05 7494·4
 1964 06 394.3
 1964 07 6994.3
 1964 08 994·2
 1964 09 3994·6
 1964 10 3394.4
 1964 11 2494.2
 1964 12 3393·2
 1965 01  1492·6
 1965 02  3792.6
 1965 03  8893.2
 1965 04  9393.9
 1965 05  7494·6
 1965 06  2194.9
 1965 07  9694·5
 1965 08  6094.7
 1965 09  2194.8
 1965 10  1894.9
 1965 11  1394·8
 1965 12  2694.1
 1966 01 8093.3
 1966 02 8393.6
 1966 03 2694.0
 1966 04 1194·7
 1966 05 195·1
 1966 06 9995·0
 1966 07 4994.6
 1966 08 5994·9
 1966 09 5995·1
 1966 10 7295·2
 1966 11 1894·9
 1966 12 4094.5
 1967 01  5594.2
 1967 02  3494·1
 1967 03  9794·3
 1967 04  4794·8
 1967 05  1595.0
 1967 06  4195·0
 1967 07  7494·9
 1967 08  9994·9
 1967 09  8895.0
 1967 10  7594.9
 1967 11  6294.8
 1967 12  4194.6
 1968 01 4993.8
 1968 02 4294.0
 1968 03 9894·3
 1968 04 4294.7
 1968 05 195.0
 1968 06 7595·2
 1968 07 4694.9
 1968 08 9695.0
 1968 09 6795.0
 1968 10 3094·9
 1968 11 9394·7
 1968 12 2294.8
 1969 01  9894.1
 1969 02  8894·4
 1969 03  5294.4
 1969 04  6494·4
 1969 05  7094·7
 1969 06  5794·9
 1969 07  6194·5
 1969 08  9294·9
 1969 09  8294.7
 1969 10  6794.7
 1969 11  8494·5
 1969 12  9994.2
 1970 01 6293·2
 1970 02 7693·1
 1970 03 793·4
 1970 04 593.5
 1970 05 5793·6
 1970 06 6593·5
 1970 07 4493·1
 1970 08 5493.2
 1970 09 4593·4
 1970 10 4193.2
 1970 11 3392·9
 1970 12 1492.2
 1971 01  2691·3
 1971 02  3591.5
 1971 03  3691.6
 1971 04  8192·1
 1971 05  2492·4
 1971 06  492·6
 1971 07  4292·5
 1971 08  7392.4
 1971 09  9192·5
 1971 10  2992·4
 1971 11  6392.2
 1971 12  3491·7
 1972 01 190·9
 1972 02 1891.2
 1972 03 3891.7
 1972 04 3492.0
 1972 05 5592.2
 1972 06 292·5
 1972 07 2992.6
 1972 08 6692.6
 1972 09 7992.8
 1972 10 3892.7
 1972 11 2392·6
 1972 12 5092.4
 1973 01  2391·3
 1973 02  791.4
 1973 03  3591.7
 1973 04  3192.2
 1973 05  6292·5
 1973 06  1692.8
 1973 07  193·2
 1973 08  7693.0
 1973 09  9693·3
 1973 10  9693.5
 1973 11  8593·1
 1973 12  8092.6
 1974 01 5291·9
 1974 02 491.5
 1974 03 7591.6
 1974 04 6391·4
 1974 05 7992·3
 1974 06 2292·4
 1974 07 8392.2
 1974 08 6892.3
 1974 09 5392·3
 1974 10 5792·1
 1974 11 4891·5
 1974 12 6590.3
 1975 01  7488.4
 1975 02  4088.0
 1975 03  3288.1
 1975 04  4888.5
 1975 05  6788.9
 1975 06  2789.2
 1975 07  2389.3
 1975 08  3589.8
 1975 09  8489.8
 1975 10  189·9
 1975 11  3489.5
 1975 12  7289·0
 1976 01 9988.2
 1976 02 6888.3
 1976 03 388.8
 1976 04 2789.5
 1976 05 1389.9
 1976 06 5989.8
 1976 07 9289·8
 1976 08 9490.1
 1976 09 5090.3
 1976 10 3290.4
 1976 11 9189.8
 1976 12 9289·3
 1977 01  6388·3
 1977 02  6788.5
 1977 03  1189.0
 1977 04  6789·7
 1977 05  2590·2
 1977 06  7290·6
 1977 07  9190·3
 1977 08  8690.6
 1977 09  3891·1
 1977 10  7991·1
 1977 11  9391·1
 1977 12  4491·0
 1978 01 2690·0
 1978 02 4390·0
 1978 03 590.1
 1978 04 6090.8
 1978 05 4191·2
 1978 06 4791·5
 1978 07 4191·3
 1978 08 7891·1
 1978 09 5791·7
 1978 10 9691.6
 1978 11 3791.5
 1978 12 6791.2
 1979 01  7590·3
 1979 02  2490·5
 1979 03  5890·7
 1979 04  2290·8
 1979 05  2091.4
 1979 06  8691.7
 1979 07  9091·7
 1979 08  6191.4
 1979 09  4391.8
 1979 10  6491.6
 1979 11  4790.9
 1979 12  3091·0
 1980 01 1889.7
 1980 02 6589.6
 1980 03 6789.4
 1980 04 9689·2
 1980 05 4889.3
 1980 06 2089.3
 1980 07 1289·1
 1980 08 5489.2
 1980 09 5689·6
 1980 10 8689·8
 1980 11 7189.5
 1980 12 2389·1
 1981 01  9388·1
 1981 02  4488.0
 1981 03  5688.7
 1981 04  4889.4
 1981 05  3589.8
 1981 06  289.6
 1981 07  589.5
 1981 08  9789.6
 1981 09  8289·7
 1981 10  9189·3
 1981 11  8188·6
 1981 12  6587.5
 1982 01 6086.4
 1982 02 6786·5
 1982 03 7286·5
 1982 04 7086·8
 1982 05 1887.4
 1982 06 1387·0
 1982 07 9186·8
 1982 08 5787·0
 1982 09 3286·7
 1982 10 3486.4
 1982 11 7685.7
 1982 12 9585·0
 1983 01  384·0
 1983 02  6383.9
 1983 03  9084.5
 1983 04  7985.1
 1983 05  5685.8
 1983 06  5686.5
 1983 07  2086·8
 1983 08  2687·1
 1983 09  4287.3
 1983 10  9487·5
 1983 11  7987·4
 1983 12  8387.2
 1984 01 3586·4
 1984 02 8586.8
 1984 03 687.3
 1984 04 1687.7
 1984 05 3688·5
 1984 06 6089.1
 1984 07 6389.0
 1984 08 2289.4
 1984 09 7089·4
 1984 10 7689·4
 1984 11 3889·0
 1984 12 1888.5
 1985 01  8987·4
 1985 02  1487·6
 1985 03  4488·0
 1985 04  4988·2
 1985 05  6789·2
 1985 06  8088.9
 1985 07  1989.1
 1985 08  8489·3
 1985 09  589.5
 1985 10  889.5
 1985 11  2589·1
 1985 12  1888·5
 1986 01 2787.9
 1986 02 5387·4
 1986 03 5287.8
 1986 04 6988·2
 1986 05 8688.6
 1986 06 9688·9
 1986 07 1188.8
 1986 08 8289.3
 1986 09 5589·3
 1986 10 4588·9
 1986 11 4088·8
 1986 12 2588·6
 1987 01  3587·6
 1987 02  3187·8
 1987 03  388.0
 1987 04  9388.6
 1987 05  5289.3
 1987 06  1189.3
 1987 07  8789·4
 1987 08  589·6
 1987 09  5689·9
 1987 10  6689·8
 1987 11  589·5
 1987 12  589.1
 1988 01 2288.3
 1988 02 488.5
 1988 03 9588·6
 1988 04 6389·5
 1988 05 5289.7
 1988 06 5589·8
 1988 07 1990.0
 1988 08 7290.0
 1988 09 6990.2
 1988 10 7690.2
 1988 11 6789.7
 1988 12 5189·3
 1989 01  2588.7
 1989 02  5088.8
 1989 03  5089.2
 1989 04  4589·4
 1989 05  9590.1
 1989 06  8290.5
 1989 07  790.4
 1989 08  2390·6
 1989 09  8090.5
 1989 10  490·5
 1989 11  190.2
 1989 12  7989·9
 1990 01 488·5
 1990 02 7388·8
 1990 03 1888·9
 1990 04 3289.1
 1990 05 1889·6
 1990 06 7189.8
 1990 07 7389.4
 1990 08 2689.4
 1990 09 9889.6
 1990 10 489.6
 1990 11 488·9
 1990 12 3188·0
 1991 01  4486.8
 1991 02  486·7
 1991 03  7286.9
 1991 04  4087·6
 1991 05  8287·8
 1991 06  2788.0
 1991 07  6687.9
 1991 08  7387·9
 1991 09  6188·3
 1991 10  5588·1
 1991 11  9887·5
 1991 12  7386·8
 1992 01 5785·5
 1992 02 9585.3
 1992 03 886.0
 1992 04 1186.6
 1992 05 7087.1
 1992 06 7987.4
 1992 07 5787.4
 1992 08 7987.4
 1992 09 2787·6
 1992 10 6287.5
 1992 11 3486·9
 1992 12 9886·6
 1993 01  7785·5
 1993 02  2885·4
 1993 03  5185.8
 1993 04  1186.6
 1993 05  9587.4
 1993 06  8187·5
 1993 07  4687·5
 1993 08  8887·7
 1993 09  8387·8
 1993 10  5587·9
 1993 11  8287.8
 1993 12  2387.3
 1994 01 6585.8
 1994 02 585.7
 1994 03 4786·4
 1994 04 3486.9
 1994 05 9287.6
 1994 06 1387·4
 1994 07 5587·4
 1994 08 6687.5
 1994 09 3988.0
 1994 10 8688·2
 1994 11 4288.1
 1994 12 8887.9
 1995 01  786·7
 1995 02  5687·1
 1995 03  7287·4
 1995 04  9487.6
 1995 05  2087.9
 1995 06  7988·0
 1995 07  3287.9
 1995 08  487.9
 1995 09  3188·1
 1995 10  3688.2
 1995 11  3687·4
 1995 12  6187.1
 1996 01 1386·3
 1996 02 3586·7
 1996 03 2187·0
 1996 04 3587·4
 1996 05 6788.0
 1996 06 788.2
 1996 07 5188.5
 1996 08 2088.8
 1996 09 1988·6
 1996 10 988·9
 1996 11 1288.5
 1996 12 3488·2
 1997 01  1887·1
 1997 02  2287·3
 1997 03  1987.7
 1997 04  2388·1
 1997 05  4288·5
 1997 06  5488·8
 1997 07  989.0
 1997 08  5589·1
 1997 09  8989·0
 1997 10  3589·0
 1997 11  4489.0
 1997 12  2488·4
 1998 01 8587.8
 1998 02 2288.0
 1998 03 1388.3
 1998 04 4988·9
 1998 05 8089·1
 1998 06 9789·1
 1998 07 2989.1
 1998 08 7589·1
 1998 09 5189·1
 1998 10 6689.3
 1998 11 3089·4
 1998 12 7188·8
 1999 01  9788·6
 1999 02  6288.4
 1999 03  7788.6
 1999 04  3189.1
 1999 05  4389·2
 1999 06  4189·2
 1999 07  6089.2
 1999 08  7489.0
 1999 09  4189.0
 1999 10  8489·2
 1999 11  9289·4
 1999 12  4488.9
 2000 01 6588·4
 2000 02 9888·5
 2000 03 988·7
 2000 04 1189·2
 2000 05 1689·3
 2000 06 1589.4
 2000 07 7589·2
 2000 08 6789.2
 2000 09 2089.1
 2000 10 9289.0
 2000 11 7889·1
 2000 12 3488·8
 2001 01  2687.8
 2001 02  987·9
 2001 03  3188.0
 2001 04  5488.2
 2001 05  1088.5
 2001 06  7488·4
 2001 07  7188.3
 2001 08  9787·9
 2001 09  7288.1
 2001 10  1987·9
 2001 11  6287.2
 2001 12  5787.0
 2002 01 3985.8
 2002 02 9986·3
 2002 03 9286·4
 2002 04 5386.7
 2002 05 5987·1
 2002 06 9786·8
 2002 07 7286.9
 2002 08 3087.1
 2002 09 987.3
 2002 10 2087·0
 2002 11 4286·1
 2002 12 5685.8
 2003 01  9084·6
 2003 02  9885·1
 2003 03  6485.3
 2003 04  2685·9
 2003 05  2586.0
 2003 06  8986.1
 2003 07  2686·2
 2003 08  5886.1
 2003 09  6786·4
 2003 10  7486·4
 2003 11  4186·2
 2003 12  9786·2
 2004 01 8985.4
 2004 02 5985·3
 2004 03 4685·4
 2004 04 1286·2
 2004 05 9386.6
 2004 06 7886.8
 2004 07 687.0
 2004 08 9886.9
 2004 09 486.9
 2004 10 8586.9
 2004 11 686.7
 2004 12 7286·0
 2005 01  7385.6
 2005 02  6385.8
 2005 03  6186·1
 2005 04  8087.0
 2005 05  7487·3
 2005 06  1887·3
 2005 07  987.4
 2005 08  9187·8
 2005 09  987·5
 2005 10  8387·6
 2005 11  1287.1
 2005 12  9886.6
 2006 01 186.2
 2006 02 1386.1
 2006 03 5786·7
 2006 04 2187.2
 2006 05 387.4
 2006 06 9087.5
 2006 07 5987.4
 2006 08 587·6
 2006 09 8987·9
 2006 10 2188·2
 2006 11 5587.9
 2006 12 1787.6
 2007 01  6087.0
 2007 02  3886.8
 2007 03  787·2
 2007 04  5287·8
 2007 05  4188.0
 2007 06  9787.8
 2007 07  487.7
 2007 08  3087·8
 2007 09  8387·7
 2007 10  8087·7
 2007 11  5987·7
 2007 12  9587·1
 2008 01 6086.3
 2008 02 9486.2
 2008 03 986·2
 2008 04 1586.6
 2008 05 7386·8
 2008 06 6986.6
 2008 07 1786.6
 2008 08 8586·4
 2008 09 4985·9
 2008 10 6486.0
 2008 11 7285·2
 2008 12 2483·6
 2009 01  3682·0
 2009 02  5881·3
 2009 03  8581·2
 2009 04  7781.7
 2009 05  1081.8
 2009 06  6081·7
 2009 07  9681.7
 2009 08  1181.8
 2009 09  7381.3
 2009 10  181.5
 2009 11  6781.2
 2009 12  2280·3
 2010 01 4979.5
 2010 02 3779·5
 2010 03 8580.0
 2010 04 2881.2
 2010 05 8881·4
 2010 06 5081·4
 2010 07 6481.6
 2010 08 7481.8
 2010 09 6681·6
 2010 10 4681.9
 2010 11 4281.0
 2010 12 2980·6
 2011 01  8480.0
 2011 02  5880·4
 2011 03  8180.7
 2011 04  8781.2
 2011 05  6681·9
 2011 06  4181.6
 2011 07  6981.7
 2011 08  6781·9
 2011 09  6481.8
 2011 10  7981.8
 2011 11  2082.2
 2011 12  1381·9
 2012 01 5281.4
 2012 02 7681·4
 2012 03 7181·8
 2012 04 9582·5
 2012 05 3182.9
 2012 06 6582·9
 2012 07 8482·9
 2012 08 682·9
 2012 09 2783.1
 2012 10 383.4
 2012 11 4982·7
 2012 12 6582.5
 2013 01  8981·6
 2013 02  7181.9
 2013 03  7882·3
 2013 04  1882.8
 2013 05  9383·3
 2013 06  7583·3
 2013 07  883·3
 2013 08  3283.0
 2013 09  4083.0
 2013 10  4882·8
 2013 11  383·2
 2013 12  382.8
 2014 01 5582.3
 2014 02 4682.2
 2014 03 5083.0
 2014 04 4983.3
 2014 05 8883.6
 2014 06 5184·2
 2014 07 6384·2
 2014 08 1484.2
 2014 09 1484·5
 2014 10 6984·3
 2014 11 7884.0
 2014 12 6883·9
 2015 01  3583·4
 2015 02  3283·6
 2015 03  6184·2
 2015 04  484.5
 2015 05  7584·6
 2015 06  9684·8
 2015 07  9784.7
 2015 08  4284.8
 2015 09  8685.0
 2015 10  4484.7
 2015 11  084·5
 2015 12  2684.2
 2016 01 4184.1
 2016 02 8284.3
 2016 03 784.9
 2016 04 2584·9
 2016 05 4285·3
 2016 06 4185.4
 2016 07 8385·1
 2016 08 3385.0


 2016 09 1485·2
 2016 10 7885·3
 2016 11 1485.2
 2016 12 7084·8
 2017 01  784·5
 2017 02  7584·6
 2017 03  1484.9
 2017 04  7985·5
 2017 05  9885·6
 2017 06  3985·6
 2017 07  1985·5
 2017 08  3085.1
 2017 09  8586.0
 2017 10  086.0
 2017 11  9585.8
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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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      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, Men: NSA
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