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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 04  660.2
 2017 03  4460.1
 2017 02  1060·0
 2017 01  6159·9
 2016 12 8059·7
 2016 11 5459.7
 2016 10 6959.7
 2016 09 4259·8
 2016 08 7159.7
 2016 07 1259.8
 2016 06 7959.6
 2016 05 7259.7
 2016 04 2959·7
 2016 03 059.9
 2016 02 5359.8
 2016 01 9559·6
 2015 12  2859·6
 2015 11  2559·4
 2015 10  2859·3
 2015 09  8059·3
 2015 08  7059.4
 2015 07  1859.3
 2015 06  6859·3
 2015 05  2159.4
 2015 04  8159.3
 2015 03  3759·3
 2015 02  6159·3
 2015 01  3759.3
 2014 12 959·2
 2014 11 6259·2
 2014 10 1959·3
 2014 09 7259·1
 2014 08 3159·0
 2014 07 059.1
 2014 06 8059·0
 2014 05 9658.9
 2014 04 4758·9
 2014 03 8358.9
 2014 02 758·7
 2014 01 358.7
 2013 12  8358·7
 2013 11  6858·6
 2013 10  8958·3
 2013 09  1158·7
 2013 08  8858·7
 2013 07  3658·7
 2013 06  3758·6
 2013 05  6558·6
 2013 04  3958.6
 2013 03  9458·5
 2013 02  9058·5
 2013 01  3558.5
 2012 12 3558·7
 2012 11 7358.7
 2012 10 1158·8
 2012 09 1458·7
 2012 08 258.4
 2012 07 3158·5
 2012 06 8758·6
 2012 05 2058.5
 2012 04 9158.4
 2012 03 4858·5
 2012 02 3258.5
 2012 01 058.4
 2011 12  7658.6
 2011 11  3258.6
 2011 10  8458.4
 2011 09  2158·4
 2011 08  5958.3
 2011 07  1458.2
 2011 06  458.2
 2011 05  7858·3
 2011 04  6558.4
 2011 03  5158.4
 2011 02  8258·4
 2011 01  9058.3
 2010 12 4358·3
 2010 11 2458·2
 2010 10 3058.3
 2010 09 158·5
 2010 08 7058·6
 2010 07 4058.5
 2010 06 8558.5
 2010 05 8058·6
 2010 04 4558.7
 2010 03 3058·5
 2010 02 1258.5
 2010 01 2158.5
 2009 12  9558·3
 2009 11  5258.6
 2009 10  9758·5
 2009 09  4458.7
 2009 08  6959.1
 2009 07  8759.3
 2009 06  5459.4
 2009 05  9259.6
 2009 04  4359·8
 2009 03  4159.9
 2009 02  2060.3
 2009 01  3560.6
 2008 12 1761·0
 2008 11 4761·4
 2008 10 5961.7
 2008 09 6861·9
 2008 08 1762·0
 2008 07 6062·2
 2008 06 5862·4
 2008 05 862·5
 2008 04 9362·7
 2008 03 6362.7
 2008 02 3062.8
 2008 01 062·9
 2007 12  2162·7
 2007 11  6262·9
 2007 10  1462·7
 2007 09  1462·9
 2007 08  162.7
 2007 07  8962·9
 2007 06  7163·0
 2007 05  4363.0
 2007 04  5863·0
 2007 03  063·3
 2007 02  9063.3
 2007 01  763·3
 2006 12 4263.4
 2006 11 7763.3
 2006 10 8463·3
 2006 09 4963.1
 2006 08 3063.1
 2006 07 2763.0
 2006 06 9063·1
 2006 05 3963·1
 2006 04 2163·0
 2006 03 8263·1
 2006 02 7263.0
 2006 01 7262.9
 2005 12  4162.8
 2005 11  9762·7
 2005 10  1862.8
 2005 09  6562.8
 2005 08  4062·9
 2005 07  5562.8
 2005 06  3962·7
 2005 05  6462.8
 2005 04  9362.7
 2005 03  6262·4
 2005 02  7562.4
 2005 01  3762.4
 2004 12 262·4
 2004 11 5062.5
 2004 10 8862.3
 2004 09 7962.3
 2004 08 9162·4
 2004 07 7562·5
 2004 06 6662.4
 2004 05 962.3
 2004 04 1162.3
 2004 03 2062·2
 2004 02 2262.3
 2004 01 7062·3
 2003 12  3762.2
 2003 11  9162·3
 2003 10  9362.1
 2003 09  3362.0
 2003 08  7062·1
 2003 07  1862·1
 2003 06  4462.3
 2003 05  9062·3
 2003 04  3562.4
 2003 03  6162.4
 2003 02  6062·5
 2003 01  6262.5
 2002 12 8262·4
 2002 11 9862·5
 2002 10 5662·7
 2002 09 9263.0
 2002 08 8762.7
 2002 07 3862.7
 2002 06 7062·7
 2002 05 5062.9
 2002 04 4962·7
 2002 03 1362·8
 2002 02 6463.0
 2002 01 3062.7
 2001 12  9662·9
 2001 11  7763·0
 2001 10  2563.2
 2001 09  5063·5
 2001 08  7663.2
 2001 07  1563.7
 2001 06  6863·7
 2001 05  5663.8
 2001 04  6664.0
 2001 03  3164·3
 2001 02  3064·3
 2001 01  1564·4
 2000 12 6564·4
 2000 11 5764.3
 2000 10 7364·2
 2000 09 2364·2
 2000 08 064·2
 2000 07 5164.2
 2000 06 8664·5
 2000 05 9964·4
 2000 04 1964.7
 2000 03 9464·6
 2000 02 8264.6
 2000 01 8564.6
 1999 12  064·4
 1999 11  9264.4
 1999 10  9864.3
 1999 09  5364.2
 1999 08  4264.2
 1999 07  7764·2
 1999 06  9764·2
 1999 05  9564·3
 1999 04  7164·2
 1999 03  664.2
 1999 02  6864.2
 1999 01  3264·4
 1998 12 3764·3
 1998 11 6164.2
 1998 10 2264.1
 1998 09 664.2
 1998 08 1563.9
 1998 07 4864.0
 1998 06 9964·0
 1998 05 8864.1
 1998 04 664·1
 1998 03 9864.0
 1998 02 6164·0
 1998 01 7164.0
 1997 12  3564·0
 1997 11  6964.1
 1997 10  9563·9
 1997 09  7463·9
 1997 08  5363.9
 1997 07  4163·9
 1997 06  1563.7
 1997 05  4363.8
 1997 04  3563.7
 1997 03  2263·6
 1997 02  5963.4
 1997 01  4563.4
 1996 12 8163·4
 1996 11 4463·4
 1996 10 8963·5
 1996 09 7563·4
 1996 08 1763.3
 1996 07 6263·3
 1996 06 9363·2
 1996 05 5263.0
 1996 04 9363.0
 1996 03 5963.0
 1996 02 8562·9
 1996 01 2162.7
 1995 12  8562.7
 1995 11  4262.8
 1995 10  262·9
 1995 09  4962.9
 1995 08  9262.8
 1995 07  4162.8
 1995 06  762.7
 1995 05  3362·7
 1995 04  4163·1
 1995 03  1363.1
 1995 02  8763.1
 1995 01  9063·0
 1994 12 8263.1
 1994 11 4163.0
 1994 10 5762·9
 1994 09 6462·7
 1994 08 9062.6
 1994 07 3062.3
 1994 06 5362·3
 1994 05 2662·5
 1994 04 6562.3
 1994 03 1362·1
 1994 02 3962.3
 1994 01 6962.2
 1993 12  3362·0
 1993 11  4561·9
 1993 10  261·8
 1993 09  1261.7
 1993 08  4562.0
 1993 07  1061.8
 1993 06  5661·8
 1993 05  061.7
 1993 04  7561·5
 1993 03  1361.5
 1993 02  3861.4
 1993 01  061·4
 1992 12 2461·4
 1992 11 8561·4
 1992 10 1161.3
 1992 09 961.4
 1992 08 1861.6
 1992 07 8461.6
 1992 06 6361.5
 1992 05 4461.5
 1992 04 761·6
 1992 03 9261·5
 1992 02 761·3
 1992 01 5161.5
 1991 12  6661·2
 1991 11  1461·4
 1991 10  8161·5
 1991 09  9761·6
 1991 08  9561.5
 1991 07  8361·6
 1991 06  4761.7
 1991 05  7861·6
 1991 04  2162·0
 1991 03  5561·8
 1991 02  9461·9
 1991 01  1262·0
 1990 12 9362·2
 1990 11 1262·3
 1990 10 3562.5
 1990 09 4362·5
 1990 08 8662·7
 1990 07 6062·8
 1990 06 762·9
 1990 05 4163·1
 1990 04 263·0
 1990 03 3263·2
 1990 02 7363·2
 1990 01 063.2
 1989 12  6663.0
 1989 11  8363·0
 1989 10  2262.9
 1989 09  3962·8
 1989 08  2763·1
 1989 07  9563.0
 1989 06  6563·0
 1989 05  162.9
 1989 04  6262·9
 1989 03  7662.9
 1989 02  4162·9
 1989 01  5762·9
 1988 12 7162.6
 1988 11 5662·7
 1988 10 1462·5
 1988 09 162·4
 1988 08 7962·4
 1988 07 9262·3
 1988 06 7062.3
 1988 05 5062·0
 1988 04 3662·2
 1988 03 6661.9
 1988 02 2262·1
 1988 01 5162·0
 1987 12  1862.0
 1987 11  8561·9
 1987 10  961·8
 1987 09  7161.6
 1987 08  2661.8
 1987 07  8061.6
 1987 06  9461·4
 1987 05  561·6
 1987 04  8461·3
 1987 03  861·2
 1987 02  6461.1
 1987 01  7261·0
 1986 12 4461·0
 1986 11 5160.9
 1986 10 3160.9
 1986 09 1760.8
 1986 08 7960.8
 1986 07 1460.8
 1986 06 3560·7
 1986 05 760·5
 1986 04 9260.5
 1986 03 3060.5
 1986 02 3860·3
 1986 01 3860.6
 1985 12  760.4
 1985 11  5660·4
 1985 10  2860.3
 1985 09  2960.3
 1985 08  7560·0
 1985 07  7359·9
 1985 06  1859.8
 1985 05  2360.1
 1985 04  7160·1
 1985 03  8760.2
 1985 02  4560·0
 1985 01  9159.9
 1984 12 9559.9
 1984 11 3159·8
 1984 10 7359·7
 1984 09 2559.7
 1984 08 7359.6
 1984 07 6059.8
 1984 06 8959.9
 1984 05 4559.7
 1984 04 5659.3
 1984 03 5859·1
 1984 02 659.1
 1984 01 9658.8
 1983 12  1758·8
 1983 11  2958·7
 1983 10  6358.4
 1983 09  4658.4
 1983 08  5958·2
 1983 07  758.1
 1983 06  2157·8
 1983 05  9057·3
 1983 04  757·3
 1983 03  4757·1
 1983 02  7057.1
 1983 01  4757·2
 1982 12 1057.2
 1982 11 3157.3
 1982 10 2157.4
 1982 09 6057.6
 1982 08 4457.8
 1982 07 6657.7
 1982 06 1457.8
 1982 05 058·2
 1982 04 1057.9
 1982 03 8358·1
 1982 02 958·2
 1982 01 5958.2
 1981 12  3358·2
 1981 11  4058·6
 1981 10  9758·8
 1981 09  5858.7
 1981 08  6359.1
 1981 07  1759.1
 1981 06  8959.0
 1981 05  4059·5
 1981 04  7659·6
 1981 03  2259.4
 1981 02  2359·2
 1981 01  7559.1
 1980 12 7259.0
 1980 11 8559·0
 1980 10 6258·9
 1980 09 5758·9
 1980 08 7758·8
 1980 07 6458.8
 1980 06 9558.9
 1980 05 459.1
 1980 04 4059·4
 1980 03 4159.7
 1980 02 3360·0
 1980 01 6160·0
 1979 12  3860·1
 1979 11  2160.0
 1979 10  1659·9
 1979 09  9860·0
 1979 08  7159·8
 1979 07  3860·0
 1979 06  559.9
 1979 05  859·8
 1979 04  6359.8
 1979 03  4660.0
 1979 02  8860.1
 1979 01  1059.9
 1978 12 6659.8
 1978 11 2859.8
 1978 10 8059.7
 1978 09 4959.5
 1978 08 5559.4
 1978 07 9159·3
 1978 06 1659·5
 1978 05 9359.3
 1978 04 3159·2
 1978 03 6558.8
 1978 02 6258.8
 1978 01 3758·8
 1977 12  1858·7
 1977 11  958·6
 1977 10  358·2
 1977 09  158.1
 1977 08  6758.0
 1977 07  357.8
 1977 06  5357·9
 1977 05  2757.8
 1977 04  5357·6
 1977 03  5457.4
 1977 02  5157.2
 1977 01  8657·0
 1976 12 7757.0
 1976 11 9457.0
 1976 10 5856.9
 1976 09 7156.9
 1976 08 6557.0
 1976 07 7957·0
 1976 06 6356.8
 1976 05 157.0
 1976 04 6656·8
 1976 03 9156·7
 1976 02 7956.5
 1976 01 2256.4
 1975 12  5656.1
 1975 11  3756.0
 1975 10  4356·1
 1975 09  156.1
 1975 08  3556·1
 1975 07  4856.0
 1975 06  1955·8
 1975 05  3356.0
 1975 04  2955·9
 1975 03  8156.0
 1975 02  9456·1
 1975 01  3756.4
 1974 12 8856·9
 1974 11 1757·3
 1974 10 8257.6
 1974 09 5757.7
 1974 08 8857.8
 1974 07 6458.0
 1974 06 1958.0
 1974 05 6358·0
 1974 04 2958·0
 1974 03 5258.2
 1974 02 7058.2
 1974 01 4858·2
 1973 12  3658·2
 1973 11  3958·2
 1973 10  2158.1
 1973 09  3257.9
 1973 08  6057·8
 1973 07  657.9
 1973 06  8658.0
 1973 05  5957.7
 1973 04  7657·7
 1973 03  6057.8
 1973 02  357·5
 1973 01  9857·1
 1972 12 8557·3
 1972 11 3257·2
 1972 10 3557.0
 1972 09 4357·0
 1972 08 1157·1
 1972 07 7957·0
 1972 06 6957·0
 1972 05 1357.0
 1972 04 656.9
 1972 03 8356.9
 1972 02 1856.7
 1972 01 5256·7
 1971 12  4456·8
 1971 11  5056·8
 1971 10  2156.6
 1971 09  3056·6
 1971 08  2756·6
 1971 07  1256.5
 1971 06  3956.2
 1971 05  4056·6
 1971 04  7956·6
 1971 03  2656·4
 1971 02  6256.6
 1971 01  356.8
 1970 12 5156.7
 1970 11 7356.9
 1970 10 257.0
 1970 09 6157·0
 1970 08 1857.2
 1970 07 6057·4
 1970 06 9657.3
 1970 05 8457·5
 1970 04 8057·9
 1970 03 1857.9
 1970 02 957·9
 1970 01 6758·0
 1969 12  6458.1
 1969 11  558.1
 1969 10  2658.1
 1969 09  2858.1
 1969 08  1958·1
 1969 07  158·0
 1969 06  6358·0
 1969 05  1157.8
 1969 04  2157.9
 1969 03  1457·9
 1969 02  5557·9
 1969 01  8657·6
 1968 12 7057.7
 1968 11 7557.6
 1968 10 6757.5
 1968 09 4757.5
 1968 08 9257·5
 1968 07 4057.6
 1968 06 8657.8
 1968 05 1257.8
 1968 04 3757·4
 1968 03 9257·4
 1968 02 2657·3
 1968 01 2757.0
 1967 12  8057·6
 1967 11  3757·5
 1967 10  2357.5
 1967 09  6057.4
 1967 08  2257·4
 1967 07  657.4
 1967 06  4157.3
 1967 05  557·0
 1967 04  8857.1
 1967 03  5756·8
 1967 02  6757·0
 1967 01  8257·1
 1966 12 2857.3
 1966 11 7157.4
 1966 10 1657·1
 1966 09 3557·1
 1966 08 1957·0
 1966 07 5456·9
 1966 06 2356.9
 1966 05 3256·7
 1966 04 6056·8
 1966 03 3956·6
 1966 02 5356·6
 1966 01 6856·7
 1965 12  7656·6
 1965 11  8156.4
 1965 10  9456·4
 1965 09  6256·2
 1965 08  1956·3
 1965 07  6356·5
 1965 06  5856·1
 1965 05  5856·2
 1965 04  6356.0
 1965 03  9155·9
 1965 02  8255.7
 1965 01  2655·7
 1964 12 955.6
 1964 11 9755·7
 1964 10 3155·6
 1964 09 5955.7
 1964 08 8255·7
 1964 07 3755·7
 1964 06 9155·6
 1964 05 7656·1
 1964 04 3355.9
 1964 03 9355.5
 1964 02 7755·6
 1964 01 2355.3
 1963 12  3755·3
 1963 11  7255·4
 1963 10  2455.5
 1963 09  6755·5
 1963 08  9455·4
 1963 07  555.4
 1963 06  9855.3
 1963 05  355·3
 1963 04  3155.5
 1963 03  4955·3
 1963 02  8555·1
 1963 01  5055·2
 1962 12 9655.2
 1962 11 8655.2
 1962 10 9855·5
 1962 09 5355·7
 1962 08 6655.7
 1962 07 2255·3
 1962 06 7555.6
 1962 05 8055·7
 1962 04 4255·4
 1962 03 8955.7
 1962 02 7955.7
 1962 01 2655.4
 1961 12  4755.3
 1961 11  4355·5
 1961 10  9955·3
 1961 09  1055·0
 1961 08  3355.3
 1961 07  6755.2
 1961 06  4655·6
 1961 05  7555·2
 1961 04  7655.2
 1961 03  6655·6
 1961 02  5955.5
 1961 01  9155·7
 1960 12 7555.7
 1960 11 7356·1
 1960 10 055·8
 1960 09 5356·4
 1960 08 5656·1
 1960 07 4456·2
 1960 06 5956·5
 1960 05 7956·4
 1960 04 7056·4
 1960 03 6155·4
 1960 02 4656·2
 1960 01 1356.0
 1959 12  9156.3
 1959 11  3055·7
 1959 10  156·1
 1959 09  2556.0
 1959 08  2056.1
 1959 07  8356.3
 1959 06  8656·3
 1959 05  856.2
 1959 04  8356·3
 1959 03  7656·0
 1959 02  8955.5
 1959 01  8355·7
 1958 12 3055·5
 1958 11 9255.5
 1958 10 2355·6
 1958 09 9255·4
 1958 08 3655·4
 1958 07 3755.2
 1958 06 2655.2
 1958 05 555.4
 1958 04 155·2
 1958 03 4355·3
 1958 02 6155·5
 1958 01 1755.9
 1957 12  5256·6
 1957 11  6656.4
 1957 10  1656.8
 1957 09  4657·0
 1957 08  3956·9
 1957 07  8757.5
 1957 06  357.2
 1957 05  3757.1
 1957 04  3657.2
 1957 03  1457.6
 1957 02  6057.5
 1957 01  5857·0
 1956 12 4457.3
 1956 11 7957·3
 1956 10 5157·5
 1956 09 557·6
 1956 08 8957·6
 1956 07 3757·5
 1956 06 6357.5
 1956 05 9557.6
 1956 04 2157·5
 1956 03 7057·3
 1956 02 957·5
 1956 01 7357.8
 1955 12  1657·7
 1955 11  8657.4
 1955 10  2757·2
 1955 09  957.2
 1955 08  7357.1
 1955 07  1556.9
 1955 06  8056·3
 1955 05  9656.3
 1955 04  1956.2
 1955 03  1455.8
 1955 02  5655·7
 1955 01  5355.7
 1954 12 355.2
 1954 11 6655·5
 1954 10 6855.5
 1954 09 2655·5
 1954 08 155.2
 1954 07 7655.0
 1954 06 5355.2
 1954 05 8255.4
 1954 04 1455.7
 1954 03 7755·7
 1954 02 7456.2
 1954 01 1655.7
 1953 12  6655·7
 1953 11  2456·5
 1953 10  2056.7
 1953 09  4756.8
 1953 08  957.1
 1953 07  057.4
 1953 06  357.4
 1953 05  1957·1
 1953 04  1757·5
 1953 03  1158·1
 1953 02  6158·0
 1953 01  257.8
 1952 12 9157.6
 1952 11 8957·5
 1952 10 5756·9
 1952 09 8957.4
 1952 08 5656.8
 1952 07 9057·0
 1952 06 8057·3
 1952 05 057·3
 1952 04 6457·1
 1952 03 9757·1
 1952 02 4157·7
 1952 01 7957·7
 1951 12  8857·7
 1951 11  1557.1
 1951 10  7857.3
 1951 09  9457·1
 1951 08  3057.4
 1951 07  7657·6
 1951 06  5557.1
 1951 05  4157.6
 1951 04  1457.3
 1951 03  3857.7
 1951 02  6057.0
 1951 01  3856·9
 1950 12 9256·7
 1950 11 8156·9
 1950 10 556·9
 1950 09 2956.6
 1950 08 3956·8
 1950 07 1356.1
 1950 06 2856·2
 1950 05 8455·8
 1950 04 5455.8
 1950 03 6555·1
 1950 02 9355.1
 1950 01 9755·1
 1949 12  6555·3
 1949 11  9355.6
 1949 10  8654·9
 1949 09  8655.3
 1949 08  2055·1
 1949 07  7955·0
 1949 06  2255·0
 1949 05  9655·4
 1949 04  9555·7
 1949 03  3056.0


 1949 02  3756·2
 1949 01  9656.2
 1948 12 9156·8
 1948 11 7856·5
 1948 10 9556·5
 1948 09 8156·6
 1948 08 3356.6
 1948 07 7957·1
 1948 06 8357.0
 1948 05 6956.2
 1948 04 7156·7
 1948 03 1556·1
 1948 02 1556·7
 1948 01 456.6
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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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or alter the examples after this blank template.







      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
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