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 Series Title: Labor Force Participation Rate: 16-19 years: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 7233·8
 2012 03 7433.9
 2012 02 033.6
 2012 01 2333.4
 2011 12  3734.2
 2011 11  4034·6
 2011 10  3234.6
 2011 09  4234.5
 2011 08  8134.6
 2011 07  1733.9
 2011 06  7634.1
 2011 05  7233·5
 2011 04  5433·7
 2011 03  8634.1
 2011 02  4733.5
 2011 01  5834.5
 2010 12 3234.3
 2010 11 5534·8
 2010 10 8235.1
 2010 09 6834·1
 2010 08 1535·1
 2010 07 5534·7
 2010 06 4434·0
 2010 05 9635.7
 2010 04 2935.7
 2010 03 4235·7
 2010 02 2235·3
 2010 01 6335·1
 2009 12  2335·7
 2009 11  9836·0
 2009 10  2735.9
 2009 09  1136·8
 2009 08  7337·2
 2009 07  3137.9
 2009 06  9738.5
 2009 05  1038.5
 2009 04  8037.8
 2009 03  7037.9
 2009 02  9738.9
 2009 01  5438·5
 2008 12 6938·5
 2008 11 7438.6
 2008 10 1339.7
 2008 09 6340.0
 2008 08 9039·8
 2008 07 2440·5
 2008 06 5840.6
 2008 05 8042.1
 2008 04 1940·7
 2008 03 2540·0
 2008 02 7140·0
 2008 01 7541.2
 2007 12  5641.2
 2007 11  1141.5
 2007 10  1441·3
 2007 09  4141·1
 2007 08  2739·5
 2007 07  3840·9
 2007 06  7541.9
 2007 05  9840·6
 2007 04  8141.2
 2007 03  8741.7
 2007 02  6742.2
 2007 01  9042·9
 2006 12 9543·3
 2006 11 6543.6
 2006 10 2743·4
 2006 09 8643·0
 2006 08 6943·4
 2006 07 343.9
 2006 06 2044·4
 2006 05 8143.4
 2006 04 2743.3
 2006 03 5844·3
 2006 02 3244·1
 2006 01 9343.6
 2005 12  2243·2
 2005 11  1344.1
 2005 10  7743.3
 2005 09  6743·4
 2005 08  2744.1
 2005 07  7343.6
 2005 06  9243.6
 2005 05  7144·0
 2005 04  4344·0
 2005 03  7044·0
 2005 02  4143·3
 2005 01  043.4
 2004 12 9644·2
 2004 11 6144·3
 2004 10 1144·2
 2004 09 7343.4
 2004 08 3643.9
 2004 07 2744·2
 2004 06 1543.2
 2004 05 3444·0
 2004 04 3843·8
 2004 03 7542.8
 2004 02 9143.8
 2004 01 5244·5
 2003 12  343.1
 2003 11  3744.0
 2003 10  243.7
 2003 09  2244.1
 2003 08  5743.7
 2003 07  7044·4
 2003 06  3545.2
 2003 05  6345·0
 2003 04  4945.0
 2003 03  5444.5
 2003 02  445.7
 2003 01  1845.9
 2002 12 5546.4
 2002 11 9747.0
 2002 10 4747.2
 2002 09 5648.1
 2002 08 7546·8
 2002 07 3047.5
 2002 06 2747·8
 2002 05 7347·4
 2002 04 3547·6
 2002 03 1048·5
 2002 02 3047·6
 2002 01 8747.4
 2001 12  8648·1
 2001 11  1949.2
 2001 10  7149·3
 2001 09  4249.2
 2001 08  247.3
 2001 07  6349·8
 2001 06  8750.1
 2001 05  849.0
 2001 04  8350·2
 2001 03  7450·9
 2001 02  4151.1
 2001 01  7851.7
 2000 12 5752·0
 2000 11 851.8
 2000 10 2151·3
 2000 09 7251.6
 2000 08 7252.3
 2000 07 4751.0
 2000 06 4052·4
 2000 05 3352·4
 2000 04 452·9
 2000 03 9852·0
 2000 02 3552·2
 2000 01 3252·2
 1999 12  5351·9
 1999 11  9351.9
 1999 10  7052·0
 1999 09  6151·7
 1999 08  4651·1
 1999 07  8751·7
 1999 06  3351·0
 1999 05  4152.7
 1999 04  3152·1
 1999 03  6352.2
 1999 02  3652·7
 1999 01  1552·6
 1998 12 8652·6
 1998 11 2852·4
 1998 10 1752.9
 1998 09 5354·1
 1998 08 952·8
 1998 07 1252·4
 1998 06 3952.8
 1998 05 4852·7
 1998 04 2751·8
 1998 03 7353·1
 1998 02 9052·7
 1998 01 2053·0
 1997 12  9051.3
 1997 11  9252.0
 1997 10  8450·9
 1997 09  1351·1
 1997 08  7351·5
 1997 07  7651·9
 1997 06  5751·2
 1997 05  9652·1
 1997 04  7752·1
 1997 03  5752.1
 1997 02  7252.1
 1997 01  6451.8
 1996 12 2752·1
 1996 11 9152.1
 1996 10 1952.7
 1996 09 3452.5
 1996 08 7351·4
 1996 07 5952.5
 1996 06 952·0
 1996 05 5252·9
 1996 04 9152.5
 1996 03 6952·0
 1996 02 8052·2
 1996 01 8752.6
 1995 12  8152·8
 1995 11  5252·6
 1995 10  9553.0
 1995 09  3353·4
 1995 08  6954·3
 1995 07  6553.7
 1995 06  4354.1
 1995 05  853·0
 1995 04  454·0
 1995 03  8954·0
 1995 02  3653·6
 1995 01  5853·6
 1994 12 6453·2
 1994 11 3252.1
 1994 10 1152·9
 1994 09 5051.5
 1994 08 4653.5
 1994 07 2352.2
 1994 06 3353·0
 1994 05 8052·6
 1994 04 7853.4
 1994 03 2152.4
 1994 02 8852.8
 1994 01 6753.2
 1993 12  1051.1
 1993 11  751.5
 1993 10  9051·1
 1993 09  5451·3
 1993 08  1651·8
 1993 07  8851·7
 1993 06  7651.0
 1993 05  1152.2
 1993 04  9851·2
 1993 03  9551.7
 1993 02  1051·9
 1993 01  3251·2
 1992 12 8151·9
 1992 11 8451·7
 1992 10 7850·4
 1992 09 3552·1
 1992 08 1452·0
 1992 07 3851.2
 1992 06 9651.6
 1992 05 6650.8
 1992 04 7549.8
 1992 03 6450·5
 1992 02 9951.3
 1992 01 9451·6
 1991 12  6251·2
 1991 11  9251.4
 1991 10  5151.5
 1991 09  1250·8
 1991 08  150.6
 1991 07  7950·8
 1991 06  4051.4
 1991 05  3951.7
 1991 04  4352.0
 1991 03  752.5
 1991 02  7952·2
 1991 01  2052·6
 1990 12 6352.6
 1990 11 8352·4
 1990 10 552·7
 1990 09 2452·6
 1990 08 6153.5
 1990 07 3953.5
 1990 06 8253·5
 1990 05 4554·2
 1990 04 6454·6
 1990 03 3055.0
 1990 02 9754·3
 1990 01 254.9
 1989 12  2055.8
 1989 11  3956·5
 1989 10  6456.3
 1989 09  4055·6
 1989 08  657.4
 1989 07  7356·1
 1989 06  2057·0
 1989 05  2755·5
 1989 04  2255.5
 1989 03  6254.5
 1989 02  2854.8
 1989 01  5755.6
 1988 12 9455·1
 1988 11 6354.8
 1988 10 7555.1
 1988 09 5156.1
 1988 08 7156.6
 1988 07 5956·4
 1988 06 7656·4
 1988 05 5154.2
 1988 04 3054.4
 1988 03 5653.8
 1988 02 6855·0
 1988 01 2755.6
 1987 12  7055·4
 1987 11  8554·6
 1987 10  1355.1
 1987 09  7354·3
 1987 08  1756.2
 1987 07  354.1
 1987 06  9953·7
 1987 05  955·3
 1987 04  2154·4
 1987 03  9254.4
 1987 02  4054·8
 1987 01  7854·0
 1986 12 5953·4
 1986 11 5954.2
 1986 10 7454·9
 1986 09 4954·8
 1986 08 2954.6
 1986 07 3454·7
 1986 06 6255·4
 1986 05 1755·2
 1986 04 5855.6
 1986 03 7555·1
 1986 02 9454.6
 1986 01 253·3
 1985 12  9654·1
 1985 11  6354·3
 1985 10  8254·5
 1985 09  4654·1
 1985 08  1853.4
 1985 07  555.5
 1985 06  6353·0
 1985 05  1955.0
 1985 04  2454.7
 1985 03  3355.3
 1985 02  254·9
 1985 01  1555.0
 1984 12 4154.5
 1984 11 353.8
 1984 10 8553.9
 1984 09 5454.4
 1984 08 1953·3
 1984 07 9754.8
 1984 06 2555·2
 1984 05 8053·8
 1984 04 3253·9
 1984 03 2153.3
 1984 02 6153.3
 1984 01 6153.2
 1983 12  8153.8
 1983 11  853·6
 1983 10  5553·0
 1983 09  9253.8
 1983 08  9255.1
 1983 07  1353·8
 1983 06  9655·2
 1983 05  9252.2
 1983 04  1652.6
 1983 03  1952.5
 1983 02  9652·7
 1983 01  553·7
 1982 12 2653·9
 1982 11 3254·7
 1982 10 9254.4
 1982 09 154·0
 1982 08 2554.2
 1982 07 8353·2
 1982 06 4952.5
 1982 05 7255·3
 1982 04 3654·3
 1982 03 3053.8
 1982 02 5354.7
 1982 01 4054.4
 1981 12  1153·8
 1981 11  5455.2
 1981 10  1855.0
 1981 09  4754·8
 1981 08  2655·2
 1981 07  6154.5
 1981 06  8254.0
 1981 05  6256.3
 1981 04  7957.0
 1981 03  8456.4
 1981 02  756.6
 1981 01  8156.7
 1980 12 9855·9
 1980 11 7956.2
 1980 10 8156.6
 1980 09 2256·3
 1980 08 3155·9
 1980 07 2757.3
 1980 06 1857·0
 1980 05 2957·0
 1980 04 5555.9
 1980 03 3557.2
 1980 02 5457·2
 1980 01 7257.7
 1979 12  7058.3
 1979 11  3557.7
 1979 10  5457·5
 1979 09  4457.8
 1979 08  256.8
 1979 07  8457.7
 1979 06  558.0
 1979 05  6457·3
 1979 04  057.9
 1979 03  6358·4
 1979 02  1958·6
 1979 01  7858.5
 1978 12 4058·2
 1978 11 7858.2
 1978 10 3558.3
 1978 09 5358.1
 1978 08 2359.3
 1978 07 6258·4
 1978 06 1658.5
 1978 05 8557·9
 1978 04 7457·0
 1978 03 7156.5
 1978 02 4956.6
 1978 01 9156·7
 1977 12  4356.3
 1977 11  8757.2
 1977 10  4856·5
 1977 09  1755·9
 1977 08  557.2
 1977 07  1556.1
 1977 06  5057·0
 1977 05  3255·6
 1977 04  6255.7
 1977 03  8955·5
 1977 02  1855.2
 1977 01  2954·2
 1976 12 3854·1
 1976 11 6554.4
 1976 10 4054.4
 1976 09 2853·9
 1976 08 8455.1
 1976 07 2355.3
 1976 06 2953·8
 1976 05 7355·1
 1976 04 7555·2
 1976 03 7254.4
 1976 02 2254.2
 1976 01 3354.2
 1975 12  1253·8
 1975 11  4253·2
 1975 10  8453·5
 1975 09  354.1
 1975 08  2053·8
 1975 07  9054.1
 1975 06  153.8
 1975 05  054.7
 1975 04  5053.6
 1975 03  9854·1
 1975 02  8654.1
 1975 01  7054.9
 1974 12 7654·4
 1974 11 7355.1
 1974 10 7855·5
 1974 09 8255·7
 1974 08 9953.8
 1974 07 4554·9
 1974 06 3955.3
 1974 05 3054·3
 1974 04 4553·8
 1974 03 7255·0
 1974 02 5855.2
 1974 01 3255.1
 1973 12  6455·1
 1973 11  3655·1
 1973 10  4654.8
 1973 09  3354·3
 1973 08  3153.2
 1973 07  4353·3
 1973 06  4254·5
 1973 05  353.2
 1973 04  4753.7
 1973 03  2453.5
 1973 02  1052·9
 1973 01  3550.8
 1972 12 3852·8
 1972 11 3652.4
 1972 10 3551.9
 1972 09 4951.6
 1972 08 5252.9
 1972 07 6251·6
 1972 06 3351.9
 1972 05 8851.5
 1972 04 6751·8
 1972 03 751.9
 1972 02 4051.4
 1972 01 2151.1
 1971 12  8250·6
 1971 11  350·5
 1971 10  1949·7
 1971 09  4449.3
 1971 08  2350.5
 1971 07  750·5
 1971 06  5947·5
 1971 05  7549.4
 1971 04  4049.7
 1971 03  149.3
 1971 02  7249·9
 1971 01  5850·0
 1970 12 849·8
 1970 11 9050·1
 1970 10 9650.1
 1970 09 6250.4
 1970 08 2849.7
 1970 07 849·4
 1970 06 9449·0
 1970 05 8249·7
 1970 04 2649·9
 1970 03 1050.4
 1970 02 5350.3
 1970 01 3650·4
 1969 12  5150·4
 1969 11  7850·9
 1969 10  8850.9
 1969 09  6950·5
 1969 08  7950.0
 1969 07  1850.0
 1969 06  3549·6
 1969 05  5047.5
 1969 04  1148.7
 1969 03  6348·3
 1969 02  5747·8
 1969 01  7347·7
 1968 12 7147.8
 1968 11 6947.7
 1968 10 4348.0
 1968 09 5747·9
 1968 08 1149.0
 1968 07 1749.1
 1968 06 649.3
 1968 05 4748·2
 1968 04 547.9
 1968 03 1548.2
 1968 02 8248.5
 1968 01 1146.6
 1967 12  5548·3
 1967 11  9448·3
 1967 10  3648·7
 1967 09  4348.3
 1967 08  8449·5
 1967 07  1049·0
 1967 06  5448·8
 1967 05  6347.2
 1967 04  4547·6
 1967 03  4547.5
 1967 02  5148·2
 1967 01  1648.3
 1966 12 1249·3
 1966 11 649.1
 1966 10 6348.2
 1966 09 6947·5
 1966 08 8549·3
 1966 07 2549.1
 1966 06 5448·5
 1966 05 1746·9
 1966 04 9047.4
 1966 03 5746·9
 1966 02 1146.7
 1966 01 7948·0
 1965 12  7848·1
 1965 11  8647.1
 1965 10  4847·8
 1965 09  046.5
 1965 08  2345·5
 1965 07  1746.3
 1965 06  244.0
 1965 05  4945.6
 1965 04  2745·3
 1965 03  8144.1
 1965 02  3643.7
 1965 01  1943·0
 1964 12 1444.3
 1964 11 3744·1
 1964 10 3944·1
 1964 09 3045·5
 1964 08 3544.2
 1964 07 6544.0
 1964 06 2244·4
 1964 05 2644.8
 1964 04 6544·0
 1964 03 7145·0
 1964 02 2445.3
 1964 01 7644·4
 1963 12  543·9
 1963 11  8944·8
 1963 10  845·8
 1963 09  7545·7
 1963 08  8044.8
 1963 07  7345.0
 1963 06  6244.6
 1963 05  4146·2
 1963 04  4145.3
 1963 03  644·8
 1963 02  9845.1
 1963 01  1845.4
 1962 12 6244·8
 1962 11 9544.9
 1962 10 5545·3
 1962 09 7645.8
 1962 08 4546.4
 1962 07 7146·5
 1962 06 9547·8
 1962 05 947·4
 1962 04 1446·5
 1962 03 9146.8
 1962 02 645·9
 1962 01 3645·6
 1961 12  2045·6
 1961 11  3647.4
 1961 10  146.4
 1961 09  146·4
 1961 08  3948.0
 1961 07  1347.1
 1961 06  1947·8
 1961 05  7445·8
 1961 04  7146·0
 1961 03  5447.6
 1961 02  2146.7
 1961 01  4747.4
 1960 12 4146·5
 1960 11 1647.4
 1960 10 9647.3
 1960 09 4247·4
 1960 08 9946.9
 1960 07 7947·3
 1960 06 5749·7
 1960 05 148·1
 1960 04 2148.5
 1960 03 5146·7
 1960 02 4147.4
 1960 01 9347.2
 1959 12  847.4
 1959 11  6346·3
 1959 10  1246.6
 1959 09  1446.9
 1959 08  8546.6
 1959 07  7246·3
 1959 06  5746·0
 1959 05  8246·2
 1959 04  247·7
 1959 03  5946.7
 1959 02  8946.7
 1959 01  4147·5
 1958 12 3447.1
 1958 11 3246.8
 1958 10 4647·9
 1958 09 6047·9
 1958 08 8247·1
 1958 07 2246.8
 1958 06 9246·5
 1958 05 3448.9
 1958 04 7248.1
 1958 03 8547·5
 1958 02 1348.0
 1958 01 8247·4
 1957 12  5349·3
 1957 11  349·4
 1957 10  2349.3
 1957 09  4749.3
 1957 08  248.4
 1957 07  8350·2
 1957 06  6050·2
 1957 05  049·4
 1957 04  1849·5
 1957 03  5650.6
 1957 02  8749·8
 1957 01  3349·5
 1956 12 2650·3
 1956 11 8050.4
 1956 10 9149·7
 1956 09 6750·3
 1956 08 7950.6
 1956 07 3551·7
 1956 06 8552·5
 1956 05 4552·1
 1956 04 4949·4
 1956 03 2850·0
 1956 02 750·5
 1956 01 3651·4
 1955 12  3953.4
 1955 11  9252·7
 1955 10  2151.1
 1955 09  3650.5
 1955 08  7449.6
 1955 07  8148·4
 1955 06  1446·7
 1955 05  6247·6
 1955 04  347·3
 1955 03  8046.3
 1955 02  9845·4
 1955 01  5946.8
 1954 12 244.6
 1954 11 9346.3
 1954 10 1347·3
 1954 09 9648·5
 1954 08 7348.0
 1954 07 5247·1
 1954 06 2046.3
 1954 05 6748·6
 1954 04 3950.1
 1954 03 1551.7
 1954 02 851·4
 1954 01 9150·9
 1953 12  5149·2
 1953 11  6248.9
 1953 10  8948.2
 1953 09  1349·1
 1953 08  8649.6
 1953 07  149·5
 1953 06  250.9
 1953 05  249·5
 1953 04  4251.8
 1953 03  6353.1
 1953 02  854·0
 1953 01  5152.4
 1952 12 4651·1
 1952 11 551·4
 1952 10 9750·2
 1952 09 8150·5
 1952 08 4850·0
 1952 07 851.2
 1952 06 8252.8
 1952 05 3452·3
 1952 04 2450.7
 1952 03 7950.9
 1952 02 9951.8
 1952 01 8152.2
 1951 12  7352.9
 1951 11  5051·9
 1951 10  1152·4
 1951 09  1552.7
 1951 08  2253.0
 1951 07  7752·6
 1951 06  851·3
 1951 05  5552·6
 1951 04  2050·9
 1951 03  4153·3
 1951 02  151·0
 1951 01  4651.4
 1950 12 4352.5
 1950 11 5152·6
 1950 10 2953.5
 1950 09 5752·5
 1950 08 9152.0
 1950 07 3750.8
 1950 06 5450·4
 1950 05 8250.9
 1950 04 9050·8
 1950 03 5550·2
 1950 02 6451·7
 1950 01 3951·9
 1949 12  9052.6
 1949 11  8852.9
 1949 10  7352.5
 1949 09  7453·1
 1949 08  6651.7
 1949 07  4250.3
 1949 06  1849·8
 1949 05  5653.4
 1949 04  2053.0
 1949 03  4954.5
 1949 02  6153.7
 1949 01  7752·8
 1948 12 7553.1
 1948 11 6551·0
 1948 10 9150.6
 1948 09 5951·5
 1948 08 8451.5
 1948 07 7352·6
 1948 06 2253·8
 1948 05 4450·9
 1948 04 2054·2
 1948 03 7854·1
 1948 02 8953·7
 1948 01 253·2
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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

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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: Labor Force Participation Rate: 16-19 years: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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