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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
 2018 06 9260.4
 2018 05 3360.4
 2018 04 8860·3
 2018 03 1660.4
 2018 02 160.4
 2018 01 2760·1
 2017 12  8260.1
 2017 11  8260·1
 2017 10  2660·2
 2017 09  6960·4
 2017 08  2660.1
 2017 07  9760·2
 2017 06  1860·1
 2017 05  4260·0
 2017 04  3460·2
 2017 03  460.2
 2017 02  5260·0
 2017 01  5159·9
 2016 12 4459.8
 2016 11 7359·8
 2016 10 2959·7
 2016 09 2959.7
 2016 08 1959.8
 2016 07 9859.7
 2016 06 7359·7
 2016 05 3159.7
 2016 04 4659·7
 2016 03 9959·8
 2016 02 3659.8
 2016 01 4159.7
 2015 12  3859·6
 2015 11  1959.4
 2015 10  9259·3
 2015 09  6359·2
 2015 08  3459·4
 2015 07  2759.3
 2015 06  4359·4
 2015 05  3159·4
 2015 04  9559.3
 2015 03  1859·3
 2015 02  1359.3
 2015 01  059.3
 2014 12 1159.3
 2014 11 1159.2
 2014 10 5259.3
 2014 09 5359·1
 2014 08 9459·0
 2014 07 4959.0
 2014 06 3759.0
 2014 05 9558·9
 2014 04 8158.9
 2014 03 358.9
 2014 02 6858·7
 2014 01 5958·8
 2013 12  3658.7
 2013 11  6658.6
 2013 10  7058.3
 2013 09  158·7
 2013 08  4758·7
 2013 07  5858·7
 2013 06  9358·6
 2013 05  258·6
 2013 04  2658.6
 2013 03  2158.5
 2013 02  1358·6
 2013 01  7158.6
 2012 12 1258.7
 2012 11 2758.7
 2012 10 3058.8
 2012 09 3758·7
 2012 08 6758·4
 2012 07 6858.5
 2012 06 7058.6
 2012 05 5858.5
 2012 04 7958.4
 2012 03 6458.5
 2012 02 8258·5
 2012 01 1558·4
 2011 12  6158·6
 2011 11  5958·6
 2011 10  4358.4
 2011 09  1658·4
 2011 08  5158.3
 2011 07  2358·2
 2011 06  5358·2
 2011 05  9158·3
 2011 04  1258·4
 2011 03  4958·4
 2011 02  3758·4
 2011 01  9758.3
 2010 12 3258.3
 2010 11 5658.2
 2010 10 4658.3
 2010 09 1658·5
 2010 08 2358·6
 2010 07 8958.5
 2010 06 5458.5
 2010 05 5558·6
 2010 04 2458.7
 2010 03 1658·5
 2010 02 6358.5
 2010 01 4558·5
 2009 12  9758.3
 2009 11  3358.6
 2009 10  9758·5
 2009 09  4358.7
 2009 08  3059.1
 2009 07  5759·3
 2009 06  859.4
 2009 05  3059.6
 2009 04  3759·8
 2009 03  3459.9
 2009 02  7060.3
 2009 01  1360.6
 2008 12 5561.0
 2008 11 3261.4
 2008 10 8461·7
 2008 09 2561·9
 2008 08 4662.0
 2008 07 4662.2
 2008 06 7562.4
 2008 05 2062·5
 2008 04 062.7
 2008 03 9462.7
 2008 02 9462.8
 2008 01 8262·9
 2007 12  2862·7
 2007 11  2062·9
 2007 10  1662·7
 2007 09  1662·9
 2007 08  6962.7
 2007 07  9562.9
 2007 06  4163.0
 2007 05  5563·0
 2007 04  8563·0
 2007 03  1263.3
 2007 02  9663·3
 2007 01  5463·3
 2006 12 6563.4
 2006 11 9063.3
 2006 10 2963·3
 2006 09 9763.1
 2006 08 2163·1
 2006 07 7363·0
 2006 06 1763.1
 2006 05 8863·1
 2006 04 9163·0
 2006 03 3163·1
 2006 02 6063.0
 2006 01 6062.9
 2005 12  3862·8
 2005 11  5762.7
 2005 10  8462.8
 2005 09  7062.8
 2005 08  5162.9
 2005 07  7162.8
 2005 06  3862·7
 2005 05  9962.8
 2005 04  4162.7
 2005 03  1762.4
 2005 02  9962.4
 2005 01  5462·4
 2004 12 4762.4
 2004 11 6362.5
 2004 10 6662.3
 2004 09 6662.3
 2004 08 3162·4
 2004 07 562·5
 2004 06 6562.4
 2004 05 9362·3
 2004 04 8262·3
 2004 03 6262·2
 2004 02 4662.3
 2004 01 1562·3
 2003 12  1362·2
 2003 11  7662·3
 2003 10  8562.1
 2003 09  4062.0
 2003 08  6162.1
 2003 07  1962.1
 2003 06  8362·3
 2003 05  9862.3
 2003 04  8962·4
 2003 03  8362·4
 2003 02  6362.5
 2003 01  4762.5
 2002 12 8562.4
 2002 11 8762.5
 2002 10 7862·7
 2002 09 6963.0
 2002 08 6262.7
 2002 07 7762.7
 2002 06 262·7
 2002 05 6962·9
 2002 04 5862·7
 2002 03 2162·8
 2002 02 3663·0
 2002 01 8062·7
 2001 12  3662·9
 2001 11  1363.0
 2001 10  563.2
 2001 09  5863.5
 2001 08  8363.2
 2001 07  7363·7
 2001 06  5963·7
 2001 05  8663·8
 2001 04  1364·0
 2001 03  4464.3
 2001 02  7464·3
 2001 01  6864·4
 2000 12 6464·4
 2000 11 9664·3
 2000 10 5064.2
 2000 09 3864.2
 2000 08 9764·2
 2000 07 2364.2
 2000 06 1464·5
 2000 05 5164.4
 2000 04 264·7
 2000 03 4464·6
 2000 02 1464·6
 2000 01 9064·6
 1999 12  9264·4
 1999 11  264.4
 1999 10  2664·3
 1999 09  6164·2
 1999 08  364·2
 1999 07  6864.2
 1999 06  5264.2
 1999 05  9664.3
 1999 04  9964·2
 1999 03  3664.2
 1999 02  1564·2
 1999 01  5164.4
 1998 12 6764·3
 1998 11 2464·2
 1998 10 6764.1
 1998 09 864·2
 1998 08 2263·9
 1998 07 7764·0
 1998 06 8364·0
 1998 05 7464.1
 1998 04 064.1
 1998 03 6364.0
 1998 02 6464.0
 1998 01 8064·0
 1997 12  6464·0
 1997 11  7864.1
 1997 10  3463·9
 1997 09  8263.9
 1997 08  363·9
 1997 07  3963.9
 1997 06  4563.7
 1997 05  6463·8
 1997 04  2963·7
 1997 03  9263·6
 1997 02  7163.4
 1997 01  3063.4
 1996 12 8063·4
 1996 11 563.4
 1996 10 1363·5
 1996 09 1463·4
 1996 08 2063.3
 1996 07 7363·3
 1996 06 9663·2
 1996 05 7063·0
 1996 04 3563.0
 1996 03 1463·0
 1996 02 7162.9
 1996 01 8262·7
 1995 12  3962·7
 1995 11  7362.8
 1995 10  1462.9
 1995 09  5662·9
 1995 08  6962.8
 1995 07  2062.8
 1995 06  2362.7
 1995 05  2362·7
 1995 04  8963·1
 1995 03  4763.1
 1995 02  2663.1
 1995 01  4063.0
 1994 12 8763·1
 1994 11 7463·0
 1994 10 7262.9
 1994 09 8962·7
 1994 08 7562.6
 1994 07 4662.3
 1994 06 3662·3
 1994 05 7662.5
 1994 04 9162·3
 1994 03 3162·1
 1994 02 2062·3
 1994 01 3362.2
 1993 12  9962·0
 1993 11  2461.9
 1993 10  4861.8
 1993 09  1761·7
 1993 08  8562.0
 1993 07  4461·8
 1993 06  7161.8
 1993 05  961·7
 1993 04  6461·5
 1993 03  3561.5
 1993 02  6461.4
 1993 01  1561.4
 1992 12 7261·4
 1992 11 6561·4
 1992 10 2861.3
 1992 09 6961·4
 1992 08 7361·6
 1992 07 3061·6
 1992 06 8861.5
 1992 05 2561.5
 1992 04 5461.6
 1992 03 4961.5
 1992 02 9561.3
 1992 01 6661·5
 1991 12  2961.2
 1991 11  6461·4
 1991 10  2361.5
 1991 09  9961·6
 1991 08  3561·5
 1991 07  4761.6
 1991 06  7361·7
 1991 05  5561.6
 1991 04  3662·0
 1991 03  9061·8
 1991 02  7161.9
 1991 01  9062.0
 1990 12 1962·2
 1990 11 1362·3
 1990 10 6762·5
 1990 09 8762.5
 1990 08 9762·7
 1990 07 6062.8
 1990 06 3662.9
 1990 05 5263·1
 1990 04 763.0
 1990 03 163·2
 1990 02 7963.2
 1990 01 1663·2
 1989 12  1463·0
 1989 11  2863.0
 1989 10  2162·9
 1989 09  3762·8
 1989 08  463.1
 1989 07  6363·0
 1989 06  1363·0
 1989 05  9662·9
 1989 04  9162.9
 1989 03  4762·9
 1989 02  3062·9
 1989 01  9962.9
 1988 12 1362·6
 1988 11 5262·7
 1988 10 7262·5
 1988 09 7862·4
 1988 08 3262·4
 1988 07 7062.3
 1988 06 6462·3
 1988 05 9162·0
 1988 04 3662.2
 1988 03 2261·9
 1988 02 5862·1
 1988 01 1762·0
 1987 12  3862.0
 1987 11  5061.9
 1987 10  2861·8
 1987 09  6561·6
 1987 08  7661.8
 1987 07  2561.6
 1987 06  7561·4
 1987 05  6661.6
 1987 04  1461·3
 1987 03  4161.2
 1987 02  2561·1
 1987 01  7661·0
 1986 12 3861·0
 1986 11 1660.9
 1986 10 2760·9
 1986 09 7760.8
 1986 08 6260.8
 1986 07 9560·8
 1986 06 5760·7
 1986 05 7660·5
 1986 04 2360.5
 1986 03 4660.5
 1986 02 1660·3
 1986 01 460·6
 1985 12  8560·4
 1985 11  6560.4
 1985 10  2860·3
 1985 09  1860·3
 1985 08  3660.0
 1985 07  7059.9
 1985 06  4559.8
 1985 05  9960.1
 1985 04  8860.1
 1985 03  560·2
 1985 02  4160·0
 1985 01  5559·9
 1984 12 7959·9
 1984 11 4059.8
 1984 10 1859.7
 1984 09 1759·7
 1984 08 7259·6
 1984 07 6859·8
 1984 06 9959.9
 1984 05 4259.7
 1984 04 5559.3
 1984 03 959.1
 1984 02 3759·1
 1984 01 1058·8
 1983 12  4058.8
 1983 11  758.7
 1983 10  558.4
 1983 09  2958.4
 1983 08  6758.2
 1983 07  3058.1
 1983 06  657.8
 1983 05  3157·3
 1983 04  9757.3
 1983 03  7457.1
 1983 02  6357.1
 1983 01  7257.2
 1982 12 1957.2
 1982 11 5757·3
 1982 10 2857·4
 1982 09 3457.6
 1982 08 4557.8
 1982 07 2457.7
 1982 06 7557.8
 1982 05 2358.2
 1982 04 1457·9
 1982 03 4358.1
 1982 02 558.2
 1982 01 7158.2
 1981 12  8858.2
 1981 11  958.6
 1981 10  4458.8
 1981 09  3458·7
 1981 08  5459·1
 1981 07  4159·1
 1981 06  4259.0
 1981 05  9559.5
 1981 04  2759·6
 1981 03  8359·4
 1981 02  7459.2
 1981 01  6059.1
 1980 12 4459·0
 1980 11 459·0
 1980 10 4158·9
 1980 09 6158.9
 1980 08 6758.8
 1980 07 9858.8
 1980 06 6858.9
 1980 05 5359.1
 1980 04 8659·4
 1980 03 8459.7
 1980 02 660·0
 1980 01 2060.0
 1979 12  1160·1
 1979 11  860.0
 1979 10  2959·9
 1979 09  6760.0
 1979 08  8259·8
 1979 07  3660·0
 1979 06  3959.9
 1979 05  2659.8
 1979 04  6259.8
 1979 03  6560.0
 1979 02  6060·1
 1979 01  5459·9
 1978 12 3859.8
 1978 11 1359·8
 1978 10 4359.7
 1978 09 3259.5
 1978 08 2259·4
 1978 07 2459.3
 1978 06 6459.5
 1978 05 6859·3
 1978 04 5459.2
 1978 03 6758.8
 1978 02 2358·8
 1978 01 9258.8
 1977 12  9658.7
 1977 11  3658.6
 1977 10  4558·2
 1977 09  6158.1
 1977 08  3558.0
 1977 07  5157.8
 1977 06  8057.9
 1977 05  5857.8
 1977 04  8557·6
 1977 03  5657·4
 1977 02  457.2
 1977 01  8857·0
 1976 12 8457.0
 1976 11 1957·0
 1976 10 1856.9
 1976 09 8356.9
 1976 08 9457·0
 1976 07 3557.0
 1976 06 4756.8
 1976 05 157.0
 1976 04 456·8
 1976 03 2456.7
 1976 02 4056·5
 1976 01 2156.4
 1975 12  2656.1
 1975 11  2956.0
 1975 10  7556·1
 1975 09  5256.1
 1975 08  9856·1
 1975 07  1956·0
 1975 06  5055.8
 1975 05  2556.0
 1975 04  8255.9
 1975 03  8956·0
 1975 02  9156·1
 1975 01  9656.4
 1974 12 6856.9
 1974 11 5757·3
 1974 10 5057·6
 1974 09 4857·7
 1974 08 6857.8
 1974 07 6858·0
 1974 06 058·0
 1974 05 8658.0
 1974 04 1958.0
 1974 03 9158·2
 1974 02 4358.2
 1974 01 4358·2
 1973 12  8558·2
 1973 11  2058·2
 1973 10  458.1
 1973 09  7457.9
 1973 08  5357·8
 1973 07  7557.9
 1973 06  3358.0
 1973 05  6257.7
 1973 04  3757.7
 1973 03  9857·8
 1973 02  657·5
 1973 01  1457·1
 1972 12 7457·3
 1972 11 6157·2
 1972 10 2357.0
 1972 09 6057·0
 1972 08 2757·1
 1972 07 5657·0
 1972 06 957.0
 1972 05 5957.0
 1972 04 8456.9
 1972 03 256·9
 1972 02 1556·7
 1972 01 9056.7
 1971 12  5856.8
 1971 11  4556.8
 1971 10  1756·6
 1971 09  6156·6
 1971 08  8756·6
 1971 07  5356·5
 1971 06  1456·2
 1971 05  456·6
 1971 04  3456.6
 1971 03  1956.4
 1971 02  3256.6
 1971 01  7556·8
 1970 12 8656·7
 1970 11 6556·9
 1970 10 2157.0
 1970 09 5557·0
 1970 08 5757.2
 1970 07 3257.4
 1970 06 5857.3
 1970 05 5257.5
 1970 04 8457·9
 1970 03 9257.9
 1970 02 4157·9
 1970 01 9858·0
 1969 12  3058·1
 1969 11  3758·1
 1969 10  9758.1
 1969 09  4858.1
 1969 08  8458·1
 1969 07  8758·0
 1969 06  7658.0
 1969 05  8457·8
 1969 04  5757·9
 1969 03  8657.9
 1969 02  5457·9
 1969 01  1357.6
 1968 12 8957.7
 1968 11 357·6
 1968 10 3057.5
 1968 09 6757.5
 1968 08 4157.5
 1968 07 3357.6
 1968 06 3057.8
 1968 05 257·8
 1968 04 257.4
 1968 03 9457·4
 1968 02 557.3
 1968 01 057.0
 1967 12  8557.6
 1967 11  3157·5
 1967 10  3057.5
 1967 09  6857.4
 1967 08  2757.4
 1967 07  1257.4
 1967 06  557·3
 1967 05  3757·0
 1967 04  9157.1
 1967 03  3356.8
 1967 02  5657·0
 1967 01  6357·1
 1966 12 6657·3
 1966 11 1157·4
 1966 10 3357·1
 1966 09 3057·1
 1966 08 6457.0
 1966 07 9256.9
 1966 06 1256·9
 1966 05 4256.7
 1966 04 2356·8
 1966 03 4456·6
 1966 02 9256·6
 1966 01 3256·7
 1965 12  656·6
 1965 11  6156·4
 1965 10  056·4
 1965 09  5756·2
 1965 08  156·3
 1965 07  6356.5
 1965 06  8556.1
 1965 05  9756·2
 1965 04  2156.0
 1965 03  9455·9
 1965 02  2355.7
 1965 01  6055·7
 1964 12 355·6
 1964 11 2355.7
 1964 10 1555.6
 1964 09 7855.7
 1964 08 1155·7
 1964 07 4355·7
 1964 06 8655·6
 1964 05 656·1
 1964 04 3255·9
 1964 03 7555.5
 1964 02 8655·6
 1964 01 2755·3
 1963 12  7955·3
 1963 11  6255.4
 1963 10  9055·5
 1963 09  4855·5
 1963 08  9155·4
 1963 07  7455.4
 1963 06  055.3
 1963 05  9955·3
 1963 04  3055·5
 1963 03  455.3
 1963 02  4055·1
 1963 01  3855.2
 1962 12 8355.2
 1962 11 7255·2
 1962 10 6055.5
 1962 09 4655.7
 1962 08 6555·7
 1962 07 2155·3
 1962 06 3755.6
 1962 05 3055·7
 1962 04 1255.4
 1962 03 2255·7
 1962 02 7155·7
 1962 01 2155.4
 1961 12  8855.3
 1961 11  6855·5
 1961 10  8655·3
 1961 09  7655.0
 1961 08  8155.3
 1961 07  7855.2
 1961 06  3455.6
 1961 05  7755·2
 1961 04  355·2
 1961 03  9755·6
 1961 02  8955·5
 1961 01  3155·7
 1960 12 9255·7
 1960 11 9356.1
 1960 10 5355.8
 1960 09 6856·4
 1960 08 1156.1
 1960 07 6156·2
 1960 06 5056.5
 1960 05 4656.4
 1960 04 4956·4
 1960 03 2055.4
 1960 02 3156.2
 1960 01 4756.0
 1959 12  1756·3
 1959 11  1355·7
 1959 10  7256.1
 1959 09  7656.0
 1959 08  5556.1
 1959 07  1156·3
 1959 06  7256·3
 1959 05  6656.2
 1959 04  2456.3
 1959 03  756·0
 1959 02  5755.5
 1959 01  7355·7
 1958 12 1355·5
 1958 11 2155.5
 1958 10 7855.6
 1958 09 7955·4
 1958 08 3455.4
 1958 07 9655.2
 1958 06 955·2
 1958 05 9055·4
 1958 04 2655.2
 1958 03 255.3
 1958 02 5255.5
 1958 01 3955·9
 1957 12  5156·6
 1957 11  3256.4
 1957 10  3256·8
 1957 09  8257·0
 1957 08  9856·9
 1957 07  757·5
 1957 06  9857.2
 1957 05  9957.1
 1957 04  7857·2
 1957 03  7057.6
 1957 02  2757·5
 1957 01  9957·0
 1956 12 3157·3
 1956 11 9057·3
 1956 10 1957·5
 1956 09 1357·6
 1956 08 1857·6
 1956 07 6157·5
 1956 06 9957.5
 1956 05 9757·6
 1956 04 2857·5
 1956 03 357.3
 1956 02 1857.5
 1956 01 3357.8
 1955 12  7457·7
 1955 11  6057.4
 1955 10  5057·2
 1955 09  2757.2
 1955 08  9457·1
 1955 07  056·9
 1955 06  9756·3
 1955 05  1256.3
 1955 04  4956.2
 1955 03  1855.8
 1955 02  8455.7
 1955 01  4455.7
 1954 12 3055.2
 1954 11 3455.5
 1954 10 6155.5
 1954 09 455·5
 1954 08 4755.2
 1954 07 9055.0
 1954 06 355.2
 1954 05 9955·4
 1954 04 4055.7
 1954 03 5855·7
 1954 02 1256·2
 1954 01 6255·7
 1953 12  7055.7
 1953 11  2956.5
 1953 10  1156·7
 1953 09  4756.8
 1953 08  2757·1
 1953 07  2457.4
 1953 06  5357·4
 1953 05  3857·1
 1953 04  2257.5
 1953 03  8858.1
 1953 02  1258·0
 1953 01  4157.8
 1952 12 9457·6
 1952 11 8857·5
 1952 10 8856.9
 1952 09 8757·4
 1952 08 656.8
 1952 07 1957.0
 1952 06 757·3
 1952 05 3357·3
 1952 04 4557·1
 1952 03 057·1
 1952 02 1957.7
 1952 01 6157.7
 1951 12  2457.7
 1951 11  7657·1
 1951 10  057·3
 1951 09  7757.1
 1951 08  8257·4
 1951 07  1557·6
 1951 06  5057·1
 1951 05  1357.6
 1951 04  8157·3
 1951 03  1257.7
 1951 02  9557.0
 1951 01  2556.9
 1950 12 956.7
 1950 11 8556·9
 1950 10 8456·9
 1950 09 9656·6
 1950 08 7856·8
 1950 07 8056·1
 1950 06 9456·2
 1950 05 3255·8
 1950 04 2855·8
 1950 03 6555.1
 1950 02 2455·1
 1950 01 6455.1
 1949 12  2055.3
 1949 11  3455.6
 1949 10  054·9
 1949 09  4955.3
 1949 08  4355.1
 1949 07  655.0
 1949 06  7355.0
 1949 05  6955·4
 1949 04  955·7
 1949 03  2556.0


 1949 02  1756.2
 1949 01  3156.2
 1948 12 5756·8
 1948 11 6256·5
 1948 10 3456.5
 1948 09 6556·6
 1948 08 4956.6
 1948 07 957·1
 1948 06 4957·0
 1948 05 3056·2
 1948 04 7356·7
 1948 03 8656.1
 1948 02 1156·7
 1948 01 556·6
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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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