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 Series Title: Employment-Population Ratio: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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Go to beginning of data set
 2017 08  9160.1
 2017 07  6960·2
 2017 06  8060·1
 2017 05  8760.0
 2017 04  8160·2
 2017 03  5260·1
 2017 02  9560.0
 2017 01  3359·9
 2016 12 6959·7
 2016 11 6559.7
 2016 10 4359.7
 2016 09 859·8
 2016 08 459·7
 2016 07 8959·8
 2016 06 3659·6
 2016 05 5859·7
 2016 04 6459·7
 2016 03 3259.9
 2016 02 1159·8
 2016 01 5059.6
 2015 12  4659.6
 2015 11  2359.4
 2015 10  3359·3
 2015 09  8059·3
 2015 08  7859.4
 2015 07  2159.3
 2015 06  8859.3
 2015 05  6759.4
 2015 04  1059.3
 2015 03  759.3
 2015 02  9059·3
 2015 01  5459·3
 2014 12 1659·2
 2014 11 8859·2
 2014 10 7659.3
 2014 09 1159.1
 2014 08 9859·0
 2014 07 9559.1
 2014 06 1059·0
 2014 05 3258·9
 2014 04 8158·9
 2014 03 8458·9
 2014 02 7858·7
 2014 01 3558·7
 2013 12  1458·7
 2013 11  3858.6
 2013 10  9658.3
 2013 09  6658.7
 2013 08  7558.7
 2013 07  6458·7
 2013 06  9958.6
 2013 05  9458·6
 2013 04  6258·6
 2013 03  9258.5
 2013 02  5158.5
 2013 01  1258·5
 2012 12 158.7
 2012 11 7958·7
 2012 10 4058.8
 2012 09 3958.7
 2012 08 4358.4
 2012 07 758.5
 2012 06 7958·6
 2012 05 2058·5
 2012 04 6358.4
 2012 03 8358·5
 2012 02 558·5
 2012 01 2458·4
 2011 12  6158.6
 2011 11  3958.6
 2011 10  8258·4
 2011 09  4558·4
 2011 08  6458·3
 2011 07  3058.2
 2011 06  9758·2
 2011 05  258.3
 2011 04  2058.4
 2011 03  3958·4
 2011 02  6458.4
 2011 01  4058·3
 2010 12 658.3
 2010 11 7358·2
 2010 10 2058·3
 2010 09 2758·5
 2010 08 2258.6
 2010 07 6258.5
 2010 06 2858.5
 2010 05 5758.6
 2010 04 9458·7
 2010 03 6358.5
 2010 02 7558.5
 2010 01 5158.5
 2009 12  7158.3
 2009 11  5958·6
 2009 10  7658·5
 2009 09  5158.7
 2009 08  3059.1
 2009 07  5659.3
 2009 06  6859·4
 2009 05  2759.6
 2009 04  7059·8
 2009 03  8559·9
 2009 02  1360.3
 2009 01  7360·6
 2008 12 1761.0
 2008 11 361.4
 2008 10 9961·7
 2008 09 961·9
 2008 08 2162·0
 2008 07 9262.2
 2008 06 4062·4
 2008 05 7862·5
 2008 04 5962·7
 2008 03 5962.7
 2008 02 7462·8
 2008 01 4962·9
 2007 12  2962.7
 2007 11  3462·9
 2007 10  6262·7
 2007 09  1762·9
 2007 08  5862.7
 2007 07  7562·9
 2007 06  9463.0
 2007 05  263·0
 2007 04  9663·0
 2007 03  6363·3
 2007 02  8263·3
 2007 01  4663·3
 2006 12 1863.4
 2006 11 563.3
 2006 10 6363·3
 2006 09 1963.1
 2006 08 2463.1
 2006 07 3363.0
 2006 06 263·1
 2006 05 1563.1
 2006 04 4163.0
 2006 03 363.1
 2006 02 8563.0
 2006 01 5462.9
 2005 12  1962·8
 2005 11  9762.7
 2005 10  2562·8
 2005 09  8062·8
 2005 08  3262·9
 2005 07  2162.8
 2005 06  6162.7
 2005 05  6162.8
 2005 04  8162.7
 2005 03  862·4
 2005 02  5562·4
 2005 01  9262.4
 2004 12 9262.4
 2004 11 1362·5
 2004 10 9662·3
 2004 09 9262.3
 2004 08 1662.4
 2004 07 1962.5
 2004 06 9662·4
 2004 05 562·3
 2004 04 2662·3
 2004 03 3262·2
 2004 02 9262.3
 2004 01 162·3
 2003 12  2562.2
 2003 11  8362·3
 2003 10  4962.1
 2003 09  7262·0
 2003 08  3662·1
 2003 07  3062.1
 2003 06  5362.3
 2003 05  4062.3
 2003 04  1162·4
 2003 03  5462.4
 2003 02  1862.5
 2003 01  4762·5
 2002 12 2662·4
 2002 11 6162.5
 2002 10 8262.7
 2002 09 6263.0
 2002 08 7962.7
 2002 07 8462.7
 2002 06 762.7
 2002 05 8162.9
 2002 04 9862·7
 2002 03 7962.8
 2002 02 8163.0
 2002 01 2262·7
 2001 12  3162·9
 2001 11  2763.0
 2001 10  1863·2
 2001 09  2963·5
 2001 08  5563.2
 2001 07  3563.7
 2001 06  5463·7
 2001 05  7263.8
 2001 04  7064.0
 2001 03  3564.3
 2001 02  5464·3
 2001 01  4464.4
 2000 12 264.4
 2000 11 8464.3
 2000 10 564.2
 2000 09 6464·2
 2000 08 064.2
 2000 07 6364·2
 2000 06 1964·5
 2000 05 7864.4
 2000 04 4064·7
 2000 03 7864.6
 2000 02 3564.6
 2000 01 5364.6
 1999 12  2364.4
 1999 11  6264·4
 1999 10  1664.3
 1999 09  8564·2
 1999 08  7464·2
 1999 07  7164.2
 1999 06  4964.2
 1999 05  9164·3
 1999 04  4364.2
 1999 03  8764.2
 1999 02  4864·2
 1999 01  1764·4
 1998 12 564.3
 1998 11 1564.2
 1998 10 5064·1
 1998 09 3264·2
 1998 08 6263.9
 1998 07 8964·0
 1998 06 1864.0
 1998 05 2964·1
 1998 04 3864·1
 1998 03 6564.0
 1998 02 4064.0
 1998 01 2864·0
 1997 12  8464.0
 1997 11  2364.1
 1997 10  2963·9
 1997 09  7363·9
 1997 08  7563·9
 1997 07  7263.9
 1997 06  2263.7
 1997 05  3363.8
 1997 04  1263·7
 1997 03  4263·6
 1997 02  8463·4
 1997 01  363.4
 1996 12 2063·4
 1996 11 9063.4
 1996 10 163.5
 1996 09 063.4
 1996 08 5063.3
 1996 07 9863·3
 1996 06 8663.2
 1996 05 7063.0
 1996 04 7663·0
 1996 03 7363.0
 1996 02 7862·9
 1996 01 8262·7
 1995 12  9962.7
 1995 11  4562·8
 1995 10  3962.9
 1995 09  3062·9
 1995 08  4562·8
 1995 07  7262·8
 1995 06  5862.7
 1995 05  3262.7
 1995 04  6463·1
 1995 03  3663·1
 1995 02  4663.1
 1995 01  3363·0
 1994 12 3163.1
 1994 11 4363·0
 1994 10 4262·9
 1994 09 362.7
 1994 08 4762.6
 1994 07 2462.3
 1994 06 1062·3
 1994 05 3562.5
 1994 04 3862·3
 1994 03 3662.1
 1994 02 3562.3
 1994 01 4962.2
 1993 12  5262.0
 1993 11  6261·9
 1993 10  3361.8
 1993 09  8861.7
 1993 08  6762·0
 1993 07  761.8
 1993 06  4061.8
 1993 05  2161.7
 1993 04  8261·5
 1993 03  361·5
 1993 02  1961·4
 1993 01  4461.4
 1992 12 2361.4
 1992 11 761·4
 1992 10 5961·3
 1992 09 7561.4
 1992 08 4061.6
 1992 07 161.6
 1992 06 7261·5
 1992 05 5861·5
 1992 04 861·6
 1992 03 9061·5
 1992 02 9661.3
 1992 01 6261.5
 1991 12  2861.2
 1991 11  861·4
 1991 10  9461·5
 1991 09  8261·6
 1991 08  2661·5
 1991 07  1061.6
 1991 06  5361.7
 1991 05  3661·6
 1991 04  5162·0
 1991 03  7861·8
 1991 02  8861.9
 1991 01  6962·0
 1990 12 7962.2
 1990 11 1862.3
 1990 10 3562·5
 1990 09 5062.5
 1990 08 1162.7
 1990 07 6362·8
 1990 06 5762·9
 1990 05 7363·1
 1990 04 7163.0
 1990 03 6963.2
 1990 02 4363.2
 1990 01 5763·2
 1989 12  1163.0
 1989 11  1763.0
 1989 10  662.9
 1989 09  4762·8
 1989 08  563.1
 1989 07  1563.0
 1989 06  8263.0
 1989 05  1162.9
 1989 04  5562·9
 1989 03  9462·9
 1989 02  3662·9
 1989 01  4362.9
 1988 12 8462·6
 1988 11 1062·7
 1988 10 5462·5
 1988 09 6362.4
 1988 08 4562·4
 1988 07 4562.3
 1988 06 5162·3
 1988 05 1662.0
 1988 04 1262·2
 1988 03 661.9
 1988 02 6362.1
 1988 01 6962·0
 1987 12  8562·0
 1987 11  2561.9
 1987 10  5461·8
 1987 09  1761·6
 1987 08  9061.8
 1987 07  5761·6
 1987 06  1161.4
 1987 05  7961·6
 1987 04  7861·3
 1987 03  8661.2
 1987 02  4861·1
 1987 01  061.0
 1986 12 2361·0
 1986 11 1760.9
 1986 10 260.9
 1986 09 4960.8
 1986 08 2760·8
 1986 07 8160.8
 1986 06 3660.7
 1986 05 1960·5
 1986 04 1460.5
 1986 03 3760·5
 1986 02 3960·3
 1986 01 3060·6
 1985 12  3560.4
 1985 11  6560.4
 1985 10  2260·3
 1985 09  2660.3
 1985 08  6560·0
 1985 07  7159·9
 1985 06  2459.8
 1985 05  7660·1
 1985 04  560·1
 1985 03  8960·2
 1985 02  860·0
 1985 01  7559·9
 1984 12 8059.9
 1984 11 7359.8
 1984 10 6259.7
 1984 09 4159·7
 1984 08 4159.6
 1984 07 659·8
 1984 06 9859.9
 1984 05 1859.7
 1984 04 6259·3
 1984 03 9559.1
 1984 02 5559·1
 1984 01 7658.8
 1983 12  4558.8
 1983 11  7158·7
 1983 10  9558·4
 1983 09  958·4
 1983 08  1458·2
 1983 07  9158.1
 1983 06  657·8
 1983 05  3657·3
 1983 04  2057·3
 1983 03  3657.1
 1983 02  157.1
 1983 01  157·2
 1982 12 3957.2
 1982 11 1357.3
 1982 10 1957·4
 1982 09 7457·6
 1982 08 7157·8
 1982 07 5457.7
 1982 06 2157.8
 1982 05 4758.2
 1982 04 4157·9
 1982 03 1658.1
 1982 02 9658.2
 1982 01 4258·2
 1981 12  9958.2
 1981 11  7958·6
 1981 10  5758·8
 1981 09  158·7
 1981 08  2159.1
 1981 07  5159·1
 1981 06  4159.0
 1981 05  9359.5
 1981 04  859.6
 1981 03  6359·4
 1981 02  1259.2
 1981 01  1459.1
 1980 12 8559.0
 1980 11 7259·0
 1980 10 5758·9
 1980 09 8258·9
 1980 08 258·8
 1980 07 5958.8
 1980 06 8958.9
 1980 05 4159·1
 1980 04 3459.4
 1980 03 3259.7
 1980 02 4660·0
 1980 01 6060·0
 1979 12  8260·1
 1979 11  2260.0
 1979 10  9259·9
 1979 09  3460.0
 1979 08  7259.8
 1979 07  8560·0
 1979 06  1359.9
 1979 05  8259·8
 1979 04  5359·8
 1979 03  360·0
 1979 02  2360.1
 1979 01  4759.9
 1978 12 259.8
 1978 11 8359·8
 1978 10 6059·7
 1978 09 059·5
 1978 08 1859·4
 1978 07 5659.3
 1978 06 8759·5
 1978 05 3359·3
 1978 04 2659·2
 1978 03 8058.8
 1978 02 9158·8
 1978 01 6758·8
 1977 12  7958.7
 1977 11  3558·6
 1977 10  8558·2
 1977 09  4558·1
 1977 08  4958·0
 1977 07  2857·8
 1977 06  757·9
 1977 05  3657·8
 1977 04  3957.6
 1977 03  9257·4
 1977 02  2157.2
 1977 01  3657.0
 1976 12 7457.0
 1976 11 8157·0
 1976 10 1456·9
 1976 09 6256·9
 1976 08 357·0
 1976 07 8057.0
 1976 06 9856·8
 1976 05 5957.0
 1976 04 256.8
 1976 03 9356.7
 1976 02 1356·5
 1976 01 9656·4
 1975 12  7356.1
 1975 11  5256·0
 1975 10  2056.1
 1975 09  6756·1
 1975 08  3956.1
 1975 07  1556.0
 1975 06  855·8
 1975 05  9156·0
 1975 04  5155·9
 1975 03  6256.0
 1975 02  8956.1
 1975 01  1356·4
 1974 12 8656.9
 1974 11 157·3
 1974 10 257.6
 1974 09 257·7
 1974 08 4257.8
 1974 07 6358.0
 1974 06 858·0
 1974 05 5158.0
 1974 04 4658·0
 1974 03 558·2
 1974 02 9758·2
 1974 01 8158·2
 1973 12  4858·2
 1973 11  858.2
 1973 10  8258.1
 1973 09  3457·9
 1973 08  2457.8
 1973 07  7957.9
 1973 06  9958.0
 1973 05  8157.7
 1973 04  7357.7
 1973 03  5057·8
 1973 02  1157·5
 1973 01  1557.1
 1972 12 2257.3
 1972 11 7757·2
 1972 10 857·0
 1972 09 5557·0
 1972 08 2057·1
 1972 07 4157·0
 1972 06 157·0
 1972 05 4657.0
 1972 04 4356.9
 1972 03 5156·9
 1972 02 2956.7
 1972 01 5756·7
 1971 12  9156.8
 1971 11  3756.8
 1971 10  5456·6
 1971 09  8256.6
 1971 08  9056·6
 1971 07  5556·5
 1971 06  6456·2
 1971 05  3956·6
 1971 04  9056.6
 1971 03  8856.4
 1971 02  7356.6
 1971 01  7456·8
 1970 12 6656.7
 1970 11 4256.9
 1970 10 1857·0
 1970 09 5657.0
 1970 08 2057.2
 1970 07 4957.4
 1970 06 6157.3
 1970 05 7757·5
 1970 04 7557.9
 1970 03 6557·9
 1970 02 9157.9
 1970 01 5958·0
 1969 12  8458.1
 1969 11  7358·1
 1969 10  2258·1
 1969 09  4458·1
 1969 08  2058·1
 1969 07  7858·0
 1969 06  8958·0
 1969 05  257·8
 1969 04  8557·9
 1969 03  1257.9
 1969 02  5857·9
 1969 01  2657·6
 1968 12 457.7
 1968 11 3257·6
 1968 10 1457·5
 1968 09 3857·5
 1968 08 2757·5
 1968 07 2057.6
 1968 06 7257·8
 1968 05 7957·8
 1968 04 2957·4
 1968 03 8257·4
 1968 02 7057.3
 1968 01 2057·0
 1967 12  1257.6
 1967 11  5157.5
 1967 10  6957·5
 1967 09  5457.4
 1967 08  057.4
 1967 07  8157·4
 1967 06  5857·3
 1967 05  157.0
 1967 04  4457·1
 1967 03  5656·8
 1967 02  5057.0
 1967 01  557·1
 1966 12 1857·3
 1966 11 8157·4
 1966 10 8357.1
 1966 09 3557·1
 1966 08 2557·0
 1966 07 8956.9
 1966 06 2056·9
 1966 05 8656.7
 1966 04 8856·8
 1966 03 3756.6
 1966 02 4856·6
 1966 01 7556.7
 1965 12  5956.6
 1965 11  456·4
 1965 10  8056·4
 1965 09  4856·2
 1965 08  1356·3
 1965 07  056.5
 1965 06  5556.1
 1965 05  7456·2
 1965 04  5056.0
 1965 03  5455.9
 1965 02  3555·7
 1965 01  4655.7
 1964 12 9555.6
 1964 11 2455·7
 1964 10 855·6
 1964 09 8455.7
 1964 08 9955·7
 1964 07 9155·7
 1964 06 8755·6
 1964 05 3256·1
 1964 04 3755.9
 1964 03 6255.5
 1964 02 1055.6
 1964 01 5955·3
 1963 12  1155·3
 1963 11  6955.4
 1963 10  4055.5
 1963 09  5955·5
 1963 08  4455·4
 1963 07  6855·4
 1963 06  6455.3
 1963 05  5255.3
 1963 04  8855·5
 1963 03  4155.3
 1963 02  9655.1
 1963 01  8255.2
 1962 12 1755·2
 1962 11 9455.2
 1962 10 7455.5
 1962 09 1755.7
 1962 08 3355·7
 1962 07 5955·3
 1962 06 5955.6
 1962 05 5255·7
 1962 04 6155.4
 1962 03 9355·7
 1962 02 4155.7
 1962 01 555·4
 1961 12  5055.3
 1961 11  7855.5
 1961 10  3255.3
 1961 09  2255.0
 1961 08  7755·3
 1961 07  2055.2
 1961 06  7055·6
 1961 05  7255·2
 1961 04  4255·2
 1961 03  5055.6
 1961 02  1855.5
 1961 01  4755.7
 1960 12 7055·7
 1960 11 2656·1
 1960 10 6455·8
 1960 09 6956·4
 1960 08 1256.1
 1960 07 2956·2
 1960 06 2056·5
 1960 05 7956·4
 1960 04 4256.4
 1960 03 6555.4
 1960 02 2556·2
 1960 01 4956·0
 1959 12  6256.3
 1959 11  6755.7
 1959 10  4256.1
 1959 09  7256.0
 1959 08  9756·1
 1959 07  9056·3
 1959 06  5756·3
 1959 05  6756·2
 1959 04  9756.3
 1959 03  1756·0
 1959 02  8555·5
 1959 01  7855·7
 1958 12 3855.5
 1958 11 5455.5
 1958 10 6455.6
 1958 09 7455.4
 1958 08 1955.4
 1958 07 3355·2
 1958 06 5555·2
 1958 05 5055.4
 1958 04 6755·2
 1958 03 1155.3
 1958 02 4755.5
 1958 01 2555·9
 1957 12  3156·6
 1957 11  6956·4
 1957 10  5356·8
 1957 09  4257·0
 1957 08  8856·9
 1957 07  1357·5
 1957 06  1057.2
 1957 05  7157.1
 1957 04  3757·2
 1957 03  7657.6
 1957 02  8257·5
 1957 01  757.0
 1956 12 457.3
 1956 11 1457.3
 1956 10 5757·5
 1956 09 6757.6
 1956 08 4057.6
 1956 07 857.5
 1956 06 4757.5
 1956 05 9757.6
 1956 04 1957·5
 1956 03 6657.3
 1956 02 9057·5
 1956 01 6657.8
 1955 12  4257·7
 1955 11  1957·4
 1955 10  5057·2
 1955 09  6757·2
 1955 08  3457.1
 1955 07  2356.9
 1955 06  1356·3
 1955 05  2056.3
 1955 04  4756.2
 1955 03  6155·8
 1955 02  9355·7
 1955 01  6955·7
 1954 12 5555.2
 1954 11 3855.5
 1954 10 2855·5
 1954 09 8355·5
 1954 08 5855·2
 1954 07 8755·0
 1954 06 8155·2
 1954 05 5655.4
 1954 04 8255·7
 1954 03 6455·7
 1954 02 4056·2
 1954 01 755.7
 1953 12  7855·7
 1953 11  5156.5
 1953 10  1756·7
 1953 09  8156.8
 1953 08  2157·1
 1953 07  5457.4
 1953 06  5057.4
 1953 05  4757·1
 1953 04  1057.5
 1953 03  658.1
 1953 02  358.0
 1953 01  9857.8
 1952 12 7357.6
 1952 11 6257·5
 1952 10 6256·9
 1952 09 5557.4
 1952 08 5856·8
 1952 07 557·0
 1952 06 4257.3
 1952 05 6057.3
 1952 04 4257·1
 1952 03 4057.1
 1952 02 8057·7
 1952 01 8457.7
 1951 12  2457·7
 1951 11  057·1
 1951 10  3857.3
 1951 09  2057·1
 1951 08  3157.4
 1951 07  4257.6
 1951 06  657.1
 1951 05  8757·6
 1951 04  1257.3
 1951 03  4657.7
 1951 02  9557·0
 1951 01  3056.9
 1950 12 4356·7
 1950 11 2056·9
 1950 10 4356.9
 1950 09 1856·6
 1950 08 2556.8
 1950 07 9556.1
 1950 06 1456.2
 1950 05 4455.8
 1950 04 8255·8
 1950 03 2855.1
 1950 02 9555.1
 1950 01 2955·1
 1949 12  6555.3
 1949 11  055·6
 1949 10  9954.9
 1949 09  1655·3
 1949 08  5055.1
 1949 07  1955·0
 1949 06  6455.0
 1949 05  7455·4
 1949 04  3655·7
 1949 03  1556·0


 1949 02  5456.2
 1949 01  9856·2
 1948 12 5056·8
 1948 11 4656·5
 1948 10 5556·5
 1948 09 656·6
 1948 08 4256.6
 1948 07 9357.1
 1948 06 8157.0
 1948 05 4356·2
 1948 04 8656·7
 1948 03 6256·1
 1948 02 6956.7
 1948 01 7856.6
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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: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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