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 Series Title: Employment-Population Ratio: 16-19 years, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1954 01 1146·6
 1954 02 9945.5
 1954 03 7646·1
 1954 04 3446·8
 1954 05 8647.7
 1954 06 4856.8
 1954 07 3964.3
 1954 08 863·2
 1954 09 8347.1
 1954 10 5245.6
 1954 11 5945·7
 1954 12 3742·8
 1955 01  5441.9
 1955 02  9241.5
 1955 03  4943·5
 1955 04  6547·9
 1955 05  7249·3
 1955 06  7558·7
 1955 07  4766·8
 1955 08  6166·2
 1955 09  4052.7
 1955 10  3352.4
 1955 11  1552.6
 1955 12  2050·4
 1956 01 8248.2
 1956 02 2246.0
 1956 03 4348.0
 1956 04 6048.6
 1956 05 4852.6
 1956 06 2464·4
 1956 07 4271.2
 1956 08 2568·9
 1956 09 1453.2
 1956 10 4550.9
 1956 11 5149·0
 1956 12 8647.7
 1957 01  8143.3
 1957 02  1845·5
 1957 03  3146.5
 1957 04  3548·7
 1957 05  7349·9
 1957 06  9964·0
 1957 07  7370·5
 1957 08  9266.9
 1957 09  4250.2
 1957 10  6950·0
 1957 11  8747.4
 1957 12  246.3
 1958 01 6241.1
 1958 02 3541.1
 1958 03 1341.0
 1958 04 3343.5
 1958 05 3345.7
 1958 06 2955.9
 1958 07 1262.8
 1958 08 7961.3
 1958 09 8245.7
 1958 10 746·1
 1958 11 7343·9
 1958 12 6043.0
 1959 01  5940.4
 1959 02  5241.7
 1959 03  942·4
 1959 04  1945.0
 1959 05  3946·5
 1959 06  6957.9
 1959 07  5863·8
 1959 08  2759·6
 1959 09  2247.8
 1959 10  9044·8
 1959 11  8243·3
 1959 12  7743·4
 1960 01 3440.7
 1960 02 7342·0
 1960 03 7039.9
 1960 04 8746.1
 1960 05 2547.1
 1960 06 9858.7
 1960 07 3463.9
 1960 08 362·0
 1960 09 7146·6
 1960 10 7244.1
 1960 11 1244·3
 1960 12 9441·4
 1961 01  7239·1
 1961 02  2738·1
 1961 03  6738.6
 1961 04  5339.9
 1961 05  5444.3
 1961 06  2057·3
 1961 07  8762·7
 1961 08  062.2
 1961 09  6643·1
 1961 10  3242.1
 1961 11  8542.2
 1961 12  7840·6
 1962 01 8437·4
 1962 02 7038·5
 1962 03 9940.3
 1962 04 5843.3
 1962 05 946.6
 1962 06 6557.5
 1962 07 9164·0
 1962 08 3361.1
 1962 09 6645·5
 1962 10 7443·2
 1962 11 5039.2
 1962 12 2241.0
 1963 01  537.5
 1963 02  7936·3
 1963 03  8837.2
 1963 04  6940·9
 1963 05  242·6
 1963 06  8654·2
 1963 07  4459.8
 1963 08  4460·0
 1963 09  5743·7
 1963 10  2842·8
 1963 11  8040.7
 1963 12  4139·5
 1964 01 9636·2
 1964 02 6037.3
 1964 03 8437·9
 1964 04 7940.4
 1964 05 6844·0
 1964 06 6454·5
 1964 07 6962·7
 1964 08 159.6
 1964 09 5044.4
 1964 10 4742.3
 1964 11 7239·9
 1964 12 7839·9
 1965 01  4136.4
 1965 02  4138·2
 1965 03  5838.8
 1965 04  342.9
 1965 05  6846·0
 1965 06  254.7
 1965 07  1365.9
 1965 08  9662.8
 1965 09  8044.8
 1965 10  1245·5
 1965 11  5144·2
 1965 12  044·6
 1966 01 5342.0
 1966 02 7741.6
 1966 03 942.3
 1966 04 8445.7
 1966 05 8746.5
 1966 06 3061·4
 1966 07 5169·3
 1966 08 4467·4
 1966 09 846.2
 1966 10 2646·6
 1966 11 6446.0
 1966 12 9745.2
 1967 01  6643.0
 1967 02  4843·3
 1967 03  6144·6
 1967 04  8945.5
 1967 05  3747.4
 1967 06  261·3
 1967 07  7969.1
 1967 08  8867.3
 1967 09  2047·0
 1967 10  1946·6
 1967 11  8344.0
 1967 12  8844.0
 1968 01 4140.4
 1968 02 5743·2
 1968 03 6043·8
 1968 04 946.8
 1968 05 5148.6
 1968 06 9761·6
 1968 07 2267·9
 1968 08 9466·2
 1968 09 2546·8
 1968 10 4546·9
 1968 11 845.3
 1968 12 1444.8
 1969 01  6342.9
 1969 02  3443·5
 1969 03  8045·0
 1969 04  6147·7
 1969 05  9248.6
 1969 06  2062·0
 1969 07  2768.1
 1969 08  5565.4
 1969 09  6048·9
 1969 10  8447.3
 1969 11  6147.2
 1969 12  4146.8
 1970 01 4443·9
 1970 02 3344.1
 1970 03 2045.8
 1970 04 8746·2
 1970 05 4448.4
 1970 06 9958.2
 1970 07 6765·7
 1970 08 8861·6
 1970 09 8546.3
 1970 10 3945·0
 1970 11 9045.1
 1970 12 6245·0
 1971 01  1842.4
 1971 02  3442·9
 1971 03  142·4
 1971 04  5446.2
 1971 05  1847.8
 1971 06  9056.7
 1971 07  4065·3
 1971 08  3361·8
 1971 09  8546·0
 1971 10  4046·3
 1971 11  6846.5
 1971 12  9345·7
 1972 01 4643.9
 1972 02 4043·3
 1972 03 7345.1
 1972 04 5347.5
 1972 05 4949·7
 1972 06 7261.2
 1972 07 6966.3
 1972 08 5864·6
 1972 09 7249.2
 1972 10 4250.0
 1972 11 9348·9
 1972 12 7648.7
 1973 01  1345·6
 1973 02  8146·9
 1973 03  849.3
 1973 04  150.7
 1973 05  9951.5
 1973 06  4864·8
 1973 07  369·6
 1973 08  5465·2
 1973 09  8052.3
 1973 10  2353.1
 1973 11  8951·7
 1973 12  7751.0
 1974 01 3148·8
 1974 02 1248.8
 1974 03 549.9
 1974 04 4151·5
 1974 05 5353·4
 1974 06 4864·4
 1974 07 1368·7
 1974 08 3965.2
 1974 09 7051·9
 1974 10 8751·8
 1974 11 349.8
 1974 12 9048·6
 1975 01  3545·3
 1975 02  1244·3
 1975 03  8645·6
 1975 04  3847.0
 1975 05  2149.8
 1975 06  2758·5
 1975 07  064.8
 1975 08  5461·2
 1975 09  2948·6
 1975 10  6648·6
 1975 11  846·9
 1975 12  3046.2
 1976 01 8444·2
 1976 02 8444.7
 1976 03 9945.6
 1976 04 8649·0
 1976 05 3850.6
 1976 06 6360·2
 1976 07 8466·4
 1976 08 6663·8
 1976 09 6548·9
 1976 10 1149·8
 1976 11 347.5
 1976 12 3947·7
 1977 01  6645.7
 1977 02  5846.2
 1977 03  1747.8
 1977 04  9951.5
 1977 05  6654.1
 1977 06  6263·0
 1977 07  1668·8
 1977 08  6665·3
 1977 09  1551.4
 1977 10  353·9
 1977 11  1052·9
 1977 12  8452.6
 1978 01 9050·2
 1978 02 8948·2
 1978 03 4049·7
 1978 04 2152.2
 1978 05 9055·5
 1978 06 5266.6
 1978 07 6670·0
 1978 08 7268.7
 1978 09 4054·2
 1978 10 4754·8
 1978 11 7853·0
 1978 12 5751·9
 1979 01  9250.9
 1979 02  5648.9
 1979 03  8850·7
 1979 04  1852.5
 1979 05  2054.1
 1979 06  8765·5
 1979 07  3469.9
 1979 08  2664.1
 1979 09  2553.5
 1979 10  7053·2
 1979 11  8052.3
 1979 12  7453.2
 1980 01 3250·0
 1980 02 6349.1
 1980 03 1251·5
 1980 04 8251.3
 1980 05 9252.0
 1980 06 4761.5
 1980 07 4366.7
 1980 08 9461.5
 1980 09 8049·9
 1980 10 2950.5
 1980 11 1348·4
 1980 12 7848.7
 1981 01  9647·0
 1981 02  4046·0
 1981 03  8247·2
 1981 04  3049·8
 1981 05  6750.6
 1981 06  3658.3
 1981 07  4164.7
 1981 08  6761.5
 1981 09  4148·8
 1981 10  149.6
 1981 11  046·9
 1981 12  3545.1
 1982 01 9542.8
 1982 02 4041·9
 1982 03 9943·0
 1982 04 344.3
 1982 05 2948·1
 1982 06 8454.3
 1982 07 058.9
 1982 08 6456·6
 1982 09 6944.0
 1982 10 9144·3
 1982 11 9143·1
 1982 12 3742.3
 1983 01  6440·6
 1983 02  4339·9
 1983 03  8440.3
 1983 04  6842.6
 1983 05  9145.5
 1983 06  4556·9
 1983 07  1961·9
 1983 08  2558·0
 1983 09  4946.5
 1983 10  2945·3
 1983 11  5745·8
 1983 12  145·5
 1984 01 6441.8
 1984 02 5342·4
 1984 03 8744.1
 1984 04 1745.7
 1984 05 8648.8
 1984 06 9859.2
 1984 07 2163·4
 1984 08 1757.9
 1984 09 9247.0
 1984 10 6946·5
 1984 11 9746.4
 1984 12 6946.3
 1985 01  8044.4
 1985 02  043·3
 1985 03  7845.8
 1985 04  6848.2
 1985 05  7750·4
 1985 06  4758·0
 1985 07  5364.6
 1985 08  3258·8
 1985 09  3247.4
 1985 10  9045·9
 1985 11  3446·3
 1985 12  745·2
 1986 01 2242·9
 1986 02 3843.0
 1986 03 5844.3
 1986 04 6146·5
 1986 05 4749.2
 1986 06 2157.6
 1986 07 9064·3
 1986 08 8859·8
 1986 09 3248.3
 1986 10 9747·6
 1986 11 1646·9
 1986 12 745.0
 1987 01  2743.7
 1987 02  4644.6
 1987 03  4944·2
 1987 04  6345·8
 1987 05  848.9
 1987 06  7657·0
 1987 07  2863·6
 1987 08  2560.6
 1987 09  7647.8
 1987 10  1847.7
 1987 11  1546.6
 1987 12  8647.6
 1988 01 5546·2
 1988 02 2946.1
 1988 03 9945·1
 1988 04 6747·5
 1988 05 9649·8
 1988 06 9060·9
 1988 07 9165·9
 1988 08 1062.6
 1988 09 7549·6
 1988 10 848·1
 1988 11 3149·7
 1988 12 8648.6
 1989 01  9145.0
 1989 02  1545·5
 1989 03  8048·1
 1989 04  8849.5
 1989 05  7151·1
 1989 06  6760.8
 1989 07  2867.4
 1989 08  3665.0
 1989 09  6449·7
 1989 10  4750.4
 1989 11  8649.2
 1989 12  7348·4
 1990 01 4646.8
 1990 02 6046.9
 1990 03 9248·2
 1990 04 7049.3
 1990 05 1850·6
 1990 06 3859.0
 1990 07 1064·4
 1990 08 1959·2
 1990 09 447·5
 1990 10 3847·8
 1990 11 2846·3
 1990 12 4046.5
 1991 01  5543·6
 1991 02  4143·7
 1991 03  5743·5
 1991 04  7843.6
 1991 05  4745.6
 1991 06  5553·9
 1991 07  3759·4
 1991 08  156.0
 1991 09  8145·4
 1991 10  1145·3
 1991 11  3044·0
 1991 12  342·7
 1992 01 8041.7
 1992 02 6540.4
 1992 03 2340·0
 1992 04 442·7
 1992 05 9644·1
 1992 06 9952·3
 1992 07 3159.2
 1992 08 4855.9
 1992 09 445·9
 1992 10 2045.6
 1992 11 9044·6
 1992 12 444·2
 1993 01  540.6
 1993 02  6041·3
 1993 03  6342.9
 1993 04  6642.2
 1993 05  2444·5
 1993 06  7453·2
 1993 07  4059.2
 1993 08  5356·8
 1993 09  1145·6
 1993 10  4544.6
 1993 11  3144·5
 1993 12  1043.8
 1994 01 4142.4
 1994 02 7943·5
 1994 03 7643·1
 1994 04 543·9
 1994 05 1646·1
 1994 06 955.4
 1994 07 3760.3
 1994 08 3358·9
 1994 09 6046.1
 1994 10 9047.6
 1994 11 246.2
 1994 12 1246·0
 1995 01  2444·2
 1995 02  444.2
 1995 03  8445.9
 1995 04  8846.7
 1995 05  8347.7
 1995 06  5858.0
 1995 07  2062.8
 1995 08  2858·6
 1995 09  3847.5
 1995 10  8346·6
 1995 11  7545·1
 1995 12  2845.6
 1996 01 1443·2
 1996 02 3744.4
 1996 03 3543·9
 1996 04 645.9
 1996 05 6148·1
 1996 06 056.2
 1996 07 1360·2
 1996 08 654·3
 1996 09 5546·9
 1996 10 8046·5
 1996 11 4844·2
 1996 12 9945·0
 1997 01  9742·4
 1997 02  843·5
 1997 03  244.1
 1997 04  7745.0
 1997 05  1148.3
 1997 06  4153.8
 1997 07  6458.7
 1997 08  6054·3
 1997 09  4845.8
 1997 10  6046.8
 1997 11  4547·7
 1997 12  9147.1
 1998 01 8343·9
 1998 02 7244.4
 1998 03 8445·1
 1998 04 4245·8
 1998 05 1747·5
 1998 06 955·2
 1998 07 4459·4
 1998 08 455.2
 1998 09 7546.3
 1998 10 2747.3
 1998 11 1346.4
 1998 12 9846.5
 1999 01  843.5
 1999 02  845.4
 1999 03  444·6
 1999 04  6845.9
 1999 05  9049.9
 1999 06  5856·0
 1999 07  5460.9
 1999 08  8255·2
 1999 09  2347·3
 1999 10  1048·8
 1999 11  2647.1
 1999 12  3547·1
 2000 01 3245.1
 2000 02 2045.2
 2000 03 946.8
 2000 04 4647·4
 2000 05 6749.6
 2000 06 6957.6
 2000 07 1459·9
 2000 08 6055·9
 2000 09 346.5
 2000 10 6447.8
 2000 11 8145·5
 2000 12 4446.4
 2001 01  4143.5
 2001 02  3744.2
 2001 03  7245.5
 2001 04  9545·0
 2001 05  744.5
 2001 06  4453.3
 2001 07  7557.7
 2001 08  2949.8
 2001 09  5044·4
 2001 10  6743·5
 2001 11  241·7
 2001 12  9341·3
 2002 01 4638.2
 2002 02 1338.6
 2002 03 9240.0
 2002 04 5439·9
 2002 05 9641.6
 2002 06 1448.1
 2002 07 851.8
 2002 08 846.1
 2002 09 2441.2
 2002 10 2541·8
 2002 11 3740.5
 2002 12 7340·3
 2003 01  8236.5
 2003 02  2936.3
 2003 03  9235.5
 2003 04  9236.1
 2003 05  4438.2
 2003 06  3245·4
 2003 07  1248·3
 2003 08  3744.3
 2003 09  1237·3
 2003 10  6638.1
 2003 11  5838.2
 2003 12  038.7
 2004 01 937·2
 2004 02 8836.4
 2004 03 2035·8
 2004 04 037·0
 2004 05 8837·6
 2004 06 7944·5
 2004 07 949·7
 2004 08 8345·0
 2004 09 2337·7
 2004 10 4539.0
 2004 11 6439.3
 2004 12 1737·3
 2005 01  1434·6
 2005 02  1934.0
 2005 03  4835·8
 2005 04  9535.7
 2005 05  8736.7
 2005 06  5744·3
 2005 07  4848.0
 2005 08  3844.1
 2005 09  9337·4
 2005 10  4137·5
 2005 11  7838.3
 2005 12  9038.6
 2006 01 636·5
 2006 02 7736·1
 2006 03 7537.6
 2006 04 1937·1
 2006 05 2838·1
 2006 06 9846.5
 2006 07 249·5
 2006 08 1945.3
 2006 09 8338.4
 2006 10 5938.5
 2006 11 4838.0
 2006 12 1138.7
 2007 01  2236.4
 2007 02  4234·9
 2007 03  2435·7
 2007 04  3735·9
 2007 05  2036·0
 2007 06  5444·0
 2007 07  6946.6
 2007 08  6840·4
 2007 09  7835.7
 2007 10  2735.9
 2007 11  4633·1
 2007 12  9733·3
 2008 01 2130·6
 2008 02 1731.2
 2008 03 4333·2
 2008 04 4334·6
 2008 05 9936·6
 2008 06 541·8
 2008 07 7243·0
 2008 08 5139·2
 2008 09 8933·4
 2008 10 031.8
 2008 11 7231·1
 2008 12 9030·9
 2009 01  8928·7
 2009 02  3128·7
 2009 03  528·8
 2009 04  5329.2
 2009 05  2730·9
 2009 06  5635·8
 2009 07  5938.0
 2009 08  6134·4
 2009 09  5129.0
 2009 10  5726.8
 2009 11  4725·8
 2009 12  5625.8
 2010 01 3824.1
 2010 02 4024·8
 2010 03 725·9
 2010 04 926·5
 2010 05 8727.4
 2010 06 3630·9
 2010 07 335.0
 2010 08 1331.1
 2010 09 2526.1
 2010 10 326·1
 2010 11 2127.2
 2010 12 8825.9
 2011 01  125.3
 2011 02  2225.0
 2011 03  7425.4
 2011 04  7724·9
 2011 05  9226·2
 2011 06  9931·2
 2011 07  234.1
 2011 08  5131.3
 2011 09  9726·4
 2011 10  6725·9
 2011 11  6525.5
 2011 12  225·8
 2012 01 4123·7


 2012 02 8124·2
 2012 03 5325.0
 2012 04 5026·0
 2012 05 7627.6
 2012 06 2433.6
 2012 07 7936·4
 2012 08 4030·7
 2012 09 7626·8
 2012 10 226·9
 2012 11 7926.3
 2012 12 3925·4
 2013 01  4224.7
 2013 02  4824.8
 2013 03  1724·5
 2013 04  4426.2
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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

Input your search text below.
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      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: 16-19 years, White Men: NSA
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Want state personal income and/or population data?

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