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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 08 5960·3
 2018 07 1260.5
 2018 06 7860.4
 2018 05 5860.4
 2018 04 8160·3
 2018 03 7460.4
 2018 02 6960·4
 2018 01 2660.1
 2017 12  8860·1
 2017 11  5360·1
 2017 10  7960·2
 2017 09  1260·4
 2017 08  3060.1
 2017 07  3160.2
 2017 06  2360·1
 2017 05  5960·0
 2017 04  8460·2
 2017 03  1460.2
 2017 02  3660.0
 2017 01  3659.9
 2016 12 4959.8
 2016 11 3559·8
 2016 10 8359·7
 2016 09 3959·7
 2016 08 5059·8
 2016 07 4959.7
 2016 06 5259.7
 2016 05 8559.7
 2016 04 3859.7
 2016 03 3959.8
 2016 02 5459·8
 2016 01 2059.7
 2015 12  8959·6
 2015 11  1059·4
 2015 10  2859.3
 2015 09  1259·2
 2015 08  359.4
 2015 07  9659.3
 2015 06  3859·4
 2015 05  5559·4
 2015 04  559·3
 2015 03  5259·3
 2015 02  7059·3
 2015 01  6959·3
 2014 12 4559·3
 2014 11 5959.2
 2014 10 3859·3
 2014 09 9759·1
 2014 08 059·0
 2014 07 2659·0
 2014 06 7959·0
 2014 05 958.9
 2014 04 6858·9
 2014 03 8358.9
 2014 02 5758·7
 2014 01 058.8
 2013 12  7758·7
 2013 11  8658·6
 2013 10  5958·3
 2013 09  8758·7
 2013 08  7658.7
 2013 07  1858.7
 2013 06  9858.6
 2013 05  1658.6
 2013 04  4058·6
 2013 03  8658.5
 2013 02  1258.6
 2013 01  5558·6
 2012 12 7058.7
 2012 11 2058.7
 2012 10 6558.8
 2012 09 9858.7
 2012 08 9258·4
 2012 07 7758·5
 2012 06 4358.6
 2012 05 6558.5
 2012 04 5558.4
 2012 03 4058·5
 2012 02 6158.5
 2012 01 058.4
 2011 12  3658·6
 2011 11  1558.6
 2011 10  5458.4
 2011 09  7258.4
 2011 08  3458.3
 2011 07  3258·2
 2011 06  8858.2
 2011 05  7558·3
 2011 04  7558.4
 2011 03  5058·4
 2011 02  4958·4
 2011 01  2858.3
 2010 12 958.3
 2010 11 5058.2
 2010 10 5058·3
 2010 09 7658.5
 2010 08 1258.6
 2010 07 3858·5
 2010 06 3058·5
 2010 05 8758.6
 2010 04 8458·7
 2010 03 4658·5
 2010 02 5058.5
 2010 01 5658.5
 2009 12  5058·3
 2009 11  3058·6
 2009 10  058.5
 2009 09  158.7
 2009 08  6259·1
 2009 07  7359.3
 2009 06  9259.4
 2009 05  6859·6
 2009 04  9359.8
 2009 03  8059·9
 2009 02  6360.3
 2009 01  2460.6
 2008 12 4561.0
 2008 11 8461·4
 2008 10 7761.7
 2008 09 6561.9
 2008 08 4362·0
 2008 07 4162.2
 2008 06 2262·4
 2008 05 962·5
 2008 04 3862·7
 2008 03 3362·7
 2008 02 1062·8
 2008 01 162·9
 2007 12  462.7
 2007 11  6762.9
 2007 10  8062·7
 2007 09  962.9
 2007 08  4362.7
 2007 07  7362.9
 2007 06  9463·0
 2007 05  2863.0
 2007 04  7963.0
 2007 03  1063·3
 2007 02  4063.3
 2007 01  7763·3
 2006 12 6363·4
 2006 11 5763·3
 2006 10 3163·3
 2006 09 063.1
 2006 08 7163·1
 2006 07 2363.0
 2006 06 563.1
 2006 05 6663.1
 2006 04 263.0
 2006 03 3863·1
 2006 02 2563·0
 2006 01 6962.9
 2005 12  8362.8
 2005 11  6062.7
 2005 10  7962.8
 2005 09  2962·8
 2005 08  6362·9
 2005 07  6962.8
 2005 06  7962.7
 2005 05  9062.8
 2005 04  1862.7
 2005 03  7362·4
 2005 02  6462.4
 2005 01  2062.4
 2004 12 4862.4
 2004 11 362·5
 2004 10 9662·3
 2004 09 1462·3
 2004 08 7962·4
 2004 07 1662·5
 2004 06 6362.4
 2004 05 9262.3
 2004 04 6162·3
 2004 03 9462·2
 2004 02 7962·3
 2004 01 9662.3
 2003 12  6962.2
 2003 11  4262.3
 2003 10  8062.1
 2003 09  9762.0
 2003 08  562.1
 2003 07  9462.1
 2003 06  3162·3
 2003 05  8862·3
 2003 04  9362.4
 2003 03  562.4
 2003 02  1862·5
 2003 01  8962.5
 2002 12 8362·4
 2002 11 5662·5
 2002 10 5662·7
 2002 09 4363.0
 2002 08 5162.7
 2002 07 5662.7
 2002 06 8062·7
 2002 05 2162·9
 2002 04 9862.7
 2002 03 3562.8
 2002 02 5663.0
 2002 01 1562.7
 2001 12  4962.9
 2001 11  5063.0
 2001 10  6963·2
 2001 09  4663·5
 2001 08  5463·2
 2001 07  8263·7
 2001 06  3563·7
 2001 05  5763·8
 2001 04  8964·0
 2001 03  3964·3
 2001 02  8964·3
 2001 01  1764.4
 2000 12 5364·4
 2000 11 5164.3
 2000 10 9564.2
 2000 09 2164.2
 2000 08 7364·2
 2000 07 7764·2
 2000 06 4164·5
 2000 05 8864·4
 2000 04 9964.7
 2000 03 9664·6
 2000 02 4164.6
 2000 01 6164.6
 1999 12  664.4
 1999 11  1664·4
 1999 10  3064·3
 1999 09  1164·2
 1999 08  9464.2
 1999 07  6964·2
 1999 06  7464.2
 1999 05  3164.3
 1999 04  9064·2
 1999 03  1064·2
 1999 02  5964·2
 1999 01  4064.4
 1998 12 4364.3
 1998 11 2364·2
 1998 10 9964·1
 1998 09 8264·2
 1998 08 2863·9
 1998 07 1264·0
 1998 06 3064·0
 1998 05 2764·1
 1998 04 4764·1
 1998 03 1164·0
 1998 02 1764.0
 1998 01 6964.0
 1997 12  2464·0
 1997 11  7664·1
 1997 10  4863·9
 1997 09  2663.9
 1997 08  1163.9
 1997 07  8763·9
 1997 06  3463·7
 1997 05  4463·8
 1997 04  8163·7
 1997 03  5363.6
 1997 02  1463.4
 1997 01  9163·4
 1996 12 3663.4
 1996 11 463.4
 1996 10 5063·5
 1996 09 6163·4
 1996 08 263.3
 1996 07 9863.3
 1996 06 3263·2
 1996 05 7363·0
 1996 04 2763·0
 1996 03 1563.0
 1996 02 7162.9
 1996 01 7262·7
 1995 12  8962.7
 1995 11  6362·8
 1995 10  562.9
 1995 09  2762·9
 1995 08  8762·8
 1995 07  7362.8
 1995 06  9862·7
 1995 05  3162.7
 1995 04  4763·1
 1995 03  163.1
 1995 02  3763.1
 1995 01  463·0
 1994 12 1863.1
 1994 11 3163·0
 1994 10 3562·9
 1994 09 9162·7
 1994 08 7762·6
 1994 07 6762·3
 1994 06 3062.3
 1994 05 6062·5
 1994 04 2462·3
 1994 03 4262·1
 1994 02 8562.3
 1994 01 562.2
 1993 12  8462.0
 1993 11  1261·9
 1993 10  8861.8
 1993 09  4661.7
 1993 08  862.0
 1993 07  5961·8
 1993 06  5161.8
 1993 05  2661.7
 1993 04  7061.5
 1993 03  9061·5
 1993 02  1361·4
 1993 01  1561·4
 1992 12 7261.4
 1992 11 3661.4
 1992 10 3761.3
 1992 09 861·4
 1992 08 3961·6
 1992 07 5461.6
 1992 06 961.5
 1992 05 2261.5
 1992 04 2161·6
 1992 03 2661.5
 1992 02 4461.3
 1992 01 261·5
 1991 12  9461·2
 1991 11  5861.4
 1991 10  8061.5
 1991 09  1861·6
 1991 08  5761.5
 1991 07  8161.6
 1991 06  7861·7
 1991 05  6461·6
 1991 04  3762.0
 1991 03  5361·8
 1991 02  2761·9
 1991 01  5862·0
 1990 12 8462.2
 1990 11 5662.3
 1990 10 4062.5
 1990 09 4562.5
 1990 08 7262.7
 1990 07 9462·8
 1990 06 5462·9
 1990 05 9463.1
 1990 04 463.0
 1990 03 263.2
 1990 02 3463·2
 1990 01 9963.2
 1989 12  363.0
 1989 11  3463·0
 1989 10  6562.9
 1989 09  7962·8
 1989 08  2063·1
 1989 07  7363·0
 1989 06  6263.0
 1989 05  7862·9
 1989 04  3162·9
 1989 03  2562·9
 1989 02  6262.9
 1989 01  6662·9
 1988 12 3662.6
 1988 11 2362·7
 1988 10 2962·5
 1988 09 3762.4
 1988 08 6162.4
 1988 07 2262.3
 1988 06 4962·3
 1988 05 1062.0
 1988 04 5562·2
 1988 03 461.9
 1988 02 3762.1
 1988 01 2862·0
 1987 12  9562.0
 1987 11  7661.9
 1987 10  2961·8
 1987 09  6161·6
 1987 08  8061.8
 1987 07  6961·6
 1987 06  8961·4
 1987 05  461.6
 1987 04  3761.3
 1987 03  4161.2
 1987 02  461·1
 1987 01  7561·0
 1986 12 1561.0
 1986 11 7260.9
 1986 10 8860·9
 1986 09 1960·8
 1986 08 8960·8
 1986 07 7060·8
 1986 06 7860·7
 1986 05 460·5
 1986 04 6160·5
 1986 03 6660.5
 1986 02 3860·3
 1986 01 2560.6
 1985 12  5560.4
 1985 11  1760.4
 1985 10  5560·3
 1985 09  160.3
 1985 08  2360.0
 1985 07  459.9
 1985 06  4259.8
 1985 05  7560.1
 1985 04  3960.1
 1985 03  3460.2
 1985 02  3660.0
 1985 01  1959·9
 1984 12 359.9
 1984 11 3959·8
 1984 10 259·7
 1984 09 2459·7
 1984 08 4259·6
 1984 07 7559.8
 1984 06 2659.9
 1984 05 1159.7
 1984 04 559·3
 1984 03 2459·1
 1984 02 2259·1
 1984 01 2358·8
 1983 12  6858.8
 1983 11  9258.7
 1983 10  2858.4
 1983 09  3158·4
 1983 08  3258·2
 1983 07  1258.1
 1983 06  557·8
 1983 05  2757.3
 1983 04  2157.3
 1983 03  3957.1
 1983 02  4457.1
 1983 01  3157·2
 1982 12 8657.2
 1982 11 5657.3
 1982 10 5557.4
 1982 09 8757·6
 1982 08 357·8
 1982 07 6957·7
 1982 06 7757.8
 1982 05 6558.2
 1982 04 7157·9
 1982 03 1058.1
 1982 02 7458·2
 1982 01 5858.2
 1981 12  1758.2
 1981 11  3558·6
 1981 10  3258·8
 1981 09  8658.7
 1981 08  9159·1
 1981 07  2759·1
 1981 06  6559.0
 1981 05  9359.5
 1981 04  6859.6
 1981 03  9159·4
 1981 02  1059.2
 1981 01  4759.1
 1980 12 4859.0
 1980 11 5959.0
 1980 10 3158·9
 1980 09 4358.9
 1980 08 5758·8
 1980 07 8858.8
 1980 06 1658·9
 1980 05 159·1
 1980 04 4559·4
 1980 03 6059.7
 1980 02 7660·0
 1980 01 6460·0
 1979 12  8860·1
 1979 11  8160.0
 1979 10  5159·9
 1979 09  160·0
 1979 08  8559.8
 1979 07  8360·0
 1979 06  359·9
 1979 05  759.8
 1979 04  6459·8
 1979 03  2360·0
 1979 02  2060.1
 1979 01  159·9
 1978 12 7359.8
 1978 11 8259.8
 1978 10 1559.7
 1978 09 2659.5
 1978 08 8859·4
 1978 07 6659.3
 1978 06 2659.5
 1978 05 5359.3
 1978 04 959.2
 1978 03 858·8
 1978 02 1558·8
 1978 01 7558.8
 1977 12  6358.7
 1977 11  6458.6
 1977 10  7158.2
 1977 09  1158.1
 1977 08  9958·0
 1977 07  1657·8
 1977 06  657·9
 1977 05  557·8
 1977 04  9357·6
 1977 03  7057.4
 1977 02  5857.2
 1977 01  2757.0
 1976 12 4557·0
 1976 11 5957·0
 1976 10 9156·9
 1976 09 7156.9
 1976 08 8157·0
 1976 07 3857·0
 1976 06 9256·8
 1976 05 5557·0
 1976 04 5056·8
 1976 03 8956.7
 1976 02 7456.5
 1976 01 2556.4
 1975 12  2956.1
 1975 11  1956·0
 1975 10  7456·1
 1975 09  4856.1
 1975 08  1756·1
 1975 07  6056·0
 1975 06  5755·8
 1975 05  2056·0
 1975 04  4055·9
 1975 03  6756·0
 1975 02  956.1
 1975 01  5956.4
 1974 12 4956·9
 1974 11 2457.3
 1974 10 4457·6
 1974 09 1057.7
 1974 08 1957.8
 1974 07 3658·0
 1974 06 9958·0
 1974 05 4258·0
 1974 04 5058.0
 1974 03 3658.2
 1974 02 3758·2
 1974 01 4858·2
 1973 12  6858.2
 1973 11  7958·2
 1973 10  4758.1
 1973 09  4957.9
 1973 08  2357·8
 1973 07  4857·9
 1973 06  4158.0
 1973 05  8757.7
 1973 04  9057.7
 1973 03  4857·8
 1973 02  5757.5
 1973 01  3357·1
 1972 12 7057.3
 1972 11 1357·2
 1972 10 5757.0
 1972 09 8057·0
 1972 08 8957.1
 1972 07 9757·0
 1972 06 3157·0
 1972 05 4857·0
 1972 04 9556.9
 1972 03 8456.9
 1972 02 9056·7
 1972 01 8056·7
 1971 12  6656·8
 1971 11  7956·8
 1971 10  7256·6
 1971 09  4656.6
 1971 08  256.6
 1971 07  1556·5
 1971 06  4256.2
 1971 05  4056.6
 1971 04  2756.6
 1971 03  4856·4
 1971 02  8556.6
 1971 01  8256.8
 1970 12 9256.7
 1970 11 5956.9
 1970 10 1657·0
 1970 09 1457·0
 1970 08 7257·2
 1970 07 5557.4
 1970 06 7257.3
 1970 05 757.5
 1970 04 6957.9
 1970 03 6857.9
 1970 02 1657·9
 1970 01 5458·0
 1969 12  758·1
 1969 11  5458.1
 1969 10  3558·1
 1969 09  7658·1
 1969 08  3758·1
 1969 07  9658.0
 1969 06  4458.0
 1969 05  1457.8
 1969 04  3457.9
 1969 03  9957.9
 1969 02  7957·9
 1969 01  4057·6
 1968 12 9857.7
 1968 11 9657·6
 1968 10 457.5
 1968 09 4757.5
 1968 08 5657.5
 1968 07 4357·6
 1968 06 757.8
 1968 05 5457·8
 1968 04 5657·4
 1968 03 2157.4
 1968 02 9957·3
 1968 01 657.0
 1967 12  7557·6
 1967 11  3857·5
 1967 10  2057.5
 1967 09  7157.4
 1967 08  1457.4
 1967 07  2557.4
 1967 06  3257.3
 1967 05  4357.0
 1967 04  9757·1
 1967 03  3856·8
 1967 02  2357·0
 1967 01  4357.1
 1966 12 7457·3
 1966 11 6057.4
 1966 10 657.1
 1966 09 1357.1
 1966 08 2257·0
 1966 07 9656.9
 1966 06 1956.9
 1966 05 2456.7
 1966 04 4156·8
 1966 03 7956.6
 1966 02 2556.6
 1966 01 6856·7
 1965 12  5556.6
 1965 11  6556.4
 1965 10  1156·4
 1965 09  6656·2
 1965 08  1656·3
 1965 07  3656·5
 1965 06  9156·1
 1965 05  6256.2
 1965 04  9956.0
 1965 03  9955.9
 1965 02  255.7
 1965 01  2455·7
 1964 12 455.6
 1964 11 8455·7
 1964 10 755.6
 1964 09 4755.7
 1964 08 5755.7
 1964 07 4955.7
 1964 06 9555.6
 1964 05 4956·1
 1964 04 755.9
 1964 03 7655.5
 1964 02 7755·6
 1964 01 7655·3
 1963 12  3155.3
 1963 11  7055.4
 1963 10  9355·5
 1963 09  9655·5
 1963 08  2955.4
 1963 07  6455·4
 1963 06  455.3
 1963 05  455.3
 1963 04  2655.5
 1963 03  1555·3
 1963 02  9955·1
 1963 01  1855·2
 1962 12 7255.2
 1962 11 355·2
 1962 10 9155·5
 1962 09 8255.7
 1962 08 4455·7
 1962 07 3655·3
 1962 06 1755·6
 1962 05 6655.7
 1962 04 4055.4
 1962 03 4555.7
 1962 02 4055·7
 1962 01 6455.4
 1961 12  8855.3
 1961 11  8755.5
 1961 10  4955·3
 1961 09  9655.0
 1961 08  3655.3
 1961 07  4355·2
 1961 06  5655·6
 1961 05  455·2
 1961 04  6155·2
 1961 03  2155·6
 1961 02  9955·5
 1961 01  5955·7
 1960 12 6355·7
 1960 11 5156·1
 1960 10 4155·8
 1960 09 5456.4
 1960 08 6756·1
 1960 07 9156.2
 1960 06 7056·5
 1960 05 856·4
 1960 04 2456·4
 1960 03 2255.4
 1960 02 9856·2
 1960 01 6756.0
 1959 12  956.3
 1959 11  5055·7
 1959 10  6556.1
 1959 09  9856·0
 1959 08  2256·1
 1959 07  856.3
 1959 06  3156·3
 1959 05  9756.2
 1959 04  8956·3
 1959 03  5256·0
 1959 02  8755·5
 1959 01  8155·7
 1958 12 6155.5
 1958 11 6355.5
 1958 10 4355.6
 1958 09 9655·4
 1958 08 1255.4
 1958 07 4955·2
 1958 06 3955·2
 1958 05 1055.4
 1958 04 4355.2
 1958 03 4055.3
 1958 02 3655·5
 1958 01 1855.9
 1957 12  7956.6
 1957 11  9456·4
 1957 10  2456.8
 1957 09  3957·0
 1957 08  7156·9
 1957 07  9257·5
 1957 06  1557.2
 1957 05  1657·1
 1957 04  9557·2
 1957 03  4157.6
 1957 02  4657.5
 1957 01  2057·0
 1956 12 4957.3
 1956 11 7357.3
 1956 10 8157.5
 1956 09 4357·6
 1956 08 6157·6
 1956 07 4457·5
 1956 06 757.5
 1956 05 657.6
 1956 04 8157·5
 1956 03 3557.3
 1956 02 3857.5
 1956 01 5357.8
 1955 12  8357·7
 1955 11  5357.4
 1955 10  1257·2
 1955 09  5257·2
 1955 08  6857.1
 1955 07  3156·9
 1955 06  9056.3
 1955 05  9756·3
 1955 04  6256·2
 1955 03  2455.8
 1955 02  6155·7
 1955 01  955·7
 1954 12 1455.2
 1954 11 1555.5
 1954 10 3955.5
 1954 09 3055·5
 1954 08 155·2
 1954 07 1055.0
 1954 06 6055.2
 1954 05 3155.4
 1954 04 2355·7
 1954 03 4055.7
 1954 02 8956.2
 1954 01 555·7
 1953 12  455·7
 1953 11  6256·5
 1953 10  1156·7
 1953 09  7156·8
 1953 08  9657·1
 1953 07  5857·4
 1953 06  4257·4
 1953 05  7457.1
 1953 04  7557.5
 1953 03  3558.1
 1953 02  1858.0
 1953 01  8257·8
 1952 12 3957.6
 1952 11 2457·5
 1952 10 256.9
 1952 09 9057·4
 1952 08 1556.8
 1952 07 8257.0
 1952 06 8257·3
 1952 05 1857·3
 1952 04 5357.1
 1952 03 9057·1
 1952 02 7257.7
 1952 01 857.7
 1951 12  2857·7
 1951 11  5557·1
 1951 10  857·3
 1951 09  3157.1
 1951 08  4157·4
 1951 07  957·6
 1951 06  5457·1
 1951 05  8057·6
 1951 04  1857.3
 1951 03  857·7
 1951 02  9957·0
 1951 01  7556·9
 1950 12 856·7
 1950 11 3456·9
 1950 10 5356.9
 1950 09 5956·6
 1950 08 8756·8
 1950 07 9456·1
 1950 06 5756.2
 1950 05 255·8
 1950 04 5655.8
 1950 03 1955.1
 1950 02 7255·1
 1950 01 9855·1
 1949 12  3955·3
 1949 11  6655·6
 1949 10  8654·9
 1949 09  6755.3
 1949 08  8755.1
 1949 07  1655·0
 1949 06  1255.0
 1949 05  5155·4
 1949 04  7655·7
 1949 03  7756.0


 1949 02  8956.2
 1949 01  2156·2
 1948 12 656·8
 1948 11 7956.5
 1948 10 7856·5
 1948 09 7056.6
 1948 08 256·6
 1948 07 8057·1
 1948 06 6957·0
 1948 05 1856·2
 1948 04 1556.7
 1948 03 6256.1
 1948 02 7356·7
 1948 01 956.6
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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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