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 Series Title: Employment-Population Ratio: 16-19 years, Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9026.2
 2012 03 1426·9
 2012 02 827·4
 2012 01 3227.1
 2011 12  6927·4
 2011 11  328.0
 2011 10  2228·0
 2011 09  4327·7
 2011 08  6427.2
 2011 07  4126.7
 2011 06  8727·2
 2011 05  326.9
 2011 04  2627·1
 2011 03  826.7
 2011 02  1526.1
 2011 01  5526.0
 2010 12 3126·4
 2010 11 1326·3
 2010 10 4526·5
 2010 09 7026.7
 2010 08 7727.7
 2010 07 8626·5
 2010 06 4026·6
 2010 05 4027.1
 2010 04 9227.7
 2010 03 8427·6
 2010 02 8727.6
 2010 01 8627.6
 2009 12  2527.7
 2009 11  8827·7
 2009 10  026·9
 2009 09  5128.2
 2009 08  5229·2
 2009 07  630·2
 2009 06  1630.7
 2009 05  531·0
 2009 04  7330.8
 2009 03  6931·5
 2009 02  9832·2
 2009 01  4132·4
 2008 12 1331.4
 2008 11 3432·0
 2008 10 3432.8
 2008 09 7933·2
 2008 08 2333.2
 2008 07 8233.4
 2008 06 3733·6
 2008 05 6434.5
 2008 04 7835.5
 2008 03 1934.9
 2008 02 4534.7
 2008 01 6335·7
 2007 12  7936·4
 2007 11  7836.9
 2007 10  2036·0
 2007 09  7135.9
 2007 08  5134·3
 2007 07  1636·0
 2007 06  5136.1
 2007 05  834.7
 2007 04  4534·8
 2007 03  1335·7
 2007 02  5136.2
 2007 01  1736.7
 2006 12 3537·5
 2006 11 7637·9
 2006 10 5737·5
 2006 09 6836.4
 2006 08 2237·0
 2006 07 3837.8
 2006 06 3238.0
 2006 05 5438·0
 2006 04 3238·0
 2006 03 5437.6
 2006 02 6538.1
 2006 01 9637.6
 2005 12  1536.9
 2005 11  737·2
 2005 10  6737·9
 2005 09  3638.4
 2005 08  4739.0
 2005 07  238.3
 2005 06  7738.2
 2005 05  4537.8
 2005 04  2737·3
 2005 03  7337·8
 2005 02  5937.0
 2005 01  1637·5
 2004 12 8137.7
 2004 11 7436.9
 2004 10 9936·8
 2004 09 6836.8
 2004 08 6037·0
 2004 07 8936·4
 2004 06 1036·5
 2004 05 4737.7
 2004 04 3937·2
 2004 03 2336.7
 2004 02 3137·0
 2004 01 1937.2
 2003 12  1835.9
 2003 11  838·3
 2003 10  2536.9
 2003 09  8137·1
 2003 08  2337.2
 2003 07  137.5
 2003 06  7837·1
 2003 05  5138·4
 2003 04  439·0
 2003 03  8439·0
 2003 02  539.0
 2003 01  7339·1
 2002 12 3639.3
 2002 11 6339.3
 2002 10 4340·4
 2002 09 1641·0
 2002 08 2040·4
 2002 07 6940·4
 2002 06 5540.8
 2002 05 7539·7
 2002 04 8240.2
 2002 03 6041·7
 2002 02 2940.4
 2002 01 6939.9
 2001 12  7140·4
 2001 11  1742·7
 2001 10  7742.2
 2001 09  4141.4
 2001 08  6339·6
 2001 07  4742.3
 2001 06  3943·3
 2001 05  6142·7
 2001 04  5942.7
 2001 03  8043·4
 2001 02  7544·2
 2001 01  2344·4
 2000 12 8445·5
 2000 11 7545·6
 2000 10 7545.0
 2000 09 4645·1
 2000 08 8744.9
 2000 07 1344.0
 2000 06 5245.7
 2000 05 7545·1
 2000 04 4645·8
 2000 03 043.8
 2000 02 4244.2
 2000 01 7845·2
 1999 12  5944.5
 1999 11  6744.4
 1999 10  1043·8
 1999 09  4943·1
 1999 08  5343.7
 1999 07  7344.5
 1999 06  4343.1
 1999 05  844·9
 1999 04  7844.9
 1999 03  9745.2
 1999 02  5345·2
 1999 01  9944·4
 1998 12 845·6
 1998 11 4744·0
 1998 10 7944.8
 1998 09 9246.9
 1998 08 4645.3
 1998 07 5545.0
 1998 06 8445·1
 1998 05 7945.9
 1998 04 1545.2
 1998 03 7746·0
 1998 02 5646·0
 1998 01 8046·4
 1997 12  6743.9
 1997 11  9443.3
 1997 10  642.6
 1997 09  4042.8
 1997 08  7643·4
 1997 07  1443.6
 1997 06  7543·0
 1997 05  2843.0
 1997 04  4444·4
 1997 03  6843.8
 1997 02  2342·7
 1997 01  3743.3
 1996 12 9543·9
 1996 11 1244.6
 1996 10 3944.8
 1996 09 8745.0
 1996 08 8042.9
 1996 07 2943·6
 1996 06 3743·2
 1996 05 2343·4
 1996 04 7442.5
 1996 03 2542·7
 1996 02 5342·7
 1996 01 1243·0
 1995 12  7842.9
 1995 11  3143·3
 1995 10  5144.0
 1995 09  4943.3
 1995 08  1844.4
 1995 07  542·7
 1995 06  1944·5
 1995 05  5443·8
 1995 04  4243.8
 1995 03  2744·6
 1995 02  6943·8
 1995 01  7144.3
 1994 12 2843.8
 1994 11 543.2
 1994 10 4042·3
 1994 09 6841.6
 1994 08 7443.0
 1994 07 7042.9
 1994 06 9443.5
 1994 05 4043·4
 1994 04 843.8
 1994 03 7942·7
 1994 02 1942·9
 1994 01 643.1
 1993 12  7841·9
 1993 11  1342.0
 1993 10  2941.7
 1993 09  1041·8
 1993 08  6141.5
 1993 07  7941.7
 1993 06  6039.4
 1993 05  2240.9
 1993 04  5740·3
 1993 03  939·9
 1993 02  7640·6
 1993 01  3440.1
 1992 12 9140·3
 1992 11 6039·7
 1992 10 6539.6
 1992 09 6839·9
 1992 08 1341.2
 1992 07 1239·4
 1992 06 4038·3
 1992 05 6639·9
 1992 04 039.7
 1992 03 7340.0
 1992 02 3940·8
 1992 01 9840·7
 1991 12  5040·6
 1991 11  7441.5
 1991 10  2340·9
 1991 09  5740·4
 1991 08  9139.8
 1991 07  7239·8
 1991 06  8241.2
 1991 05  6441.2
 1991 04  7242.9
 1991 03  4942.1
 1991 02  2942·1
 1991 01  6241·7
 1990 12 6842.1
 1990 11 1142·3
 1990 10 042·7
 1990 09 2143·4
 1990 08 8143.6
 1990 07 8944.1
 1990 06 6044.2
 1990 05 3444·3
 1990 04 3444·7
 1990 03 4245.8
 1990 02 9544·7
 1990 01 2045.6
 1989 12  8046.1
 1989 11  4947.4
 1989 10  1946·8
 1989 09  2546.6
 1989 08  9247.2
 1989 07  1845.8
 1989 06  7046.2
 1989 05  1646·4
 1989 04  7246·3
 1989 03  8045.5
 1989 02  1145.7
 1989 01  8946.7
 1988 12 4546.3
 1988 11 9345·8
 1988 10 2946.3
 1988 09 6246.6
 1988 08 6146.4
 1988 07 3747.5
 1988 06 3747·3
 1988 05 7944.3
 1988 04 9644.4
 1988 03 1944·4
 1988 02 7445·8
 1988 01 945.7
 1987 12  5045.7
 1987 11  7245·1
 1987 10  144.5
 1987 09  4844.4
 1987 08  4946·9
 1987 07  5045.4
 1987 06  844·2
 1987 05  1345.9
 1987 04  4244·7
 1987 03  3844.2
 1987 02  743·5
 1987 01  4943·4
 1986 12 643.6
 1986 11 4043.1
 1986 10 3544·2
 1986 09 2543.1
 1986 08 4043·7
 1986 07 8843.4
 1986 06 5743.9
 1986 05 3543·7
 1986 04 7043·9
 1986 03 4044·7
 1986 02 5843·3
 1986 01 9942·8
 1985 12  4742.7
 1985 11  7743.8
 1985 10  5442.8
 1985 09  6043·4
 1985 08  4542.4
 1985 07  542.9
 1985 06  8040.7
 1985 05  8742·9
 1985 04  6643·1
 1985 03  5643·7
 1985 02  144.0
 1985 01  7643.1
 1984 12 3442.6
 1984 11 8642·6
 1984 10 442·9
 1984 09 4442.7
 1984 08 042.1
 1984 07 7844·3
 1984 06 343·3
 1984 05 3742·3
 1984 04 4042.3
 1984 03 3940·7
 1984 02 3441·7
 1984 01 2342.4
 1983 12  5341·6
 1983 11  9840·5
 1983 10  6139.9
 1983 09  9640·5
 1983 08  6541.3
 1983 07  1439·7
 1983 06  7139.6
 1983 05  7538·8
 1983 04  2739.2
 1983 03  6839·1
 1983 02  7839.4
 1983 01  540.2
 1982 12 1439·9
 1982 11 6740.5
 1982 10 2040·5
 1982 09 5540·6
 1982 08 2739·9
 1982 07 4240.0
 1982 06 5939.9
 1982 05 1940.8
 1982 04 9040.5
 1982 03 4940.1
 1982 02 8440.0
 1982 01 1640.0
 1981 12  5440.0
 1981 11  7140·6
 1981 10  640·7
 1981 09  9041.4
 1981 08  9442·3
 1981 07  1442.1
 1981 06  6541·4
 1981 05  1043.1
 1981 04  1243·5
 1981 03  1042.9
 1981 02  2343.1
 1981 01  7143·3
 1980 12 3243·9
 1980 11 1643.5
 1980 10 6743·9
 1980 09 9144.0
 1980 08 442.8
 1980 07 1243.7
 1980 06 1143·4
 1980 05 1543.4
 1980 04 443·3
 1980 03 643·7
 1980 02 9344·2
 1980 01 1245.2
 1979 12  3345·6
 1979 11  3045·7
 1979 10  7645·1
 1979 09  7644·6
 1979 08  1643·6
 1979 07  3945·2
 1979 06  4645·0
 1979 05  2644·9
 1979 04  345·3
 1979 03  1646.4
 1979 02  1846·3
 1979 01  745.9
 1978 12 7045.5
 1978 11 6745·2
 1978 10 3045.3
 1978 09 8744.9
 1978 08 1646.0
 1978 07 2445·0
 1978 06 4345·2
 1978 05 6045.3
 1978 04 6843.9
 1978 03 4442.7
 1978 02 4642.7
 1978 01 4642.6
 1977 12  7642.8
 1977 11  842·5
 1977 10  5342·1
 1977 09  8941·8
 1977 08  1543·9
 1977 07  2242.0
 1977 06  042·2
 1977 05  5840.9
 1977 04  8641.4
 1977 03  1941·4
 1977 02  5041.2
 1977 01  4839·8
 1976 12 1339·5
 1976 11 5640.5
 1976 10 9240·5
 1976 09 7640·4
 1976 08 4840.2
 1976 07 1341.8
 1976 06 3940·3
 1976 05 8841·9
 1976 04 6640·6
 1976 03 9740.4
 1976 02 2839·8
 1976 01 5339.9
 1975 12  6739·4
 1975 11  4039·1
 1975 10  2239.1
 1975 09  6439·7
 1975 08  7639·1
 1975 07  9939·3
 1975 06  939.0
 1975 05  4139·6
 1975 04  4439.2
 1975 03  5539.0
 1975 02  239.4
 1975 01  2840.3
 1974 12 4739·8
 1974 11 1640.5
 1974 10 3941.2
 1974 09 9441·6
 1974 08 8441·0
 1974 07 1140.2
 1974 06 8341·0
 1974 05 3440·5
 1974 04 8141·0
 1974 03 9941·4
 1974 02 2141.6
 1974 01 6641·4
 1973 12  8941·7
 1973 11  6141.5
 1973 10  6741.3
 1973 09  3440·9
 1973 08  8340.6
 1973 07  439·6
 1973 06  5941.9
 1973 05  840.3
 1973 04  6339·9
 1973 03  5840·0
 1973 02  5839.2
 1973 01  8238·6
 1972 12 5439·2
 1972 11 8138.9
 1972 10 5438.0
 1972 09 7537·3
 1972 08 838.2
 1972 07 5538.1
 1972 06 6038.0
 1972 05 3138·9
 1972 04 9938·4
 1972 03 8638·1
 1972 02 1237·7
 1972 01 2037·8
 1971 12  2836.8
 1971 11  536·0
 1971 10  7435.7
 1971 09  3435.8
 1971 08  2036.9
 1971 07  7035·7
 1971 06  3334·2
 1971 05  9535·7
 1971 04  2636.0
 1971 03  6236·0
 1971 02  436.4
 1971 01  4536·4
 1970 12 2035.1
 1970 11 8735.9
 1970 10 2337.3
 1970 09 5337.5
 1970 08 437·3
 1970 07 7837·1
 1970 06 5336.4
 1970 05 1537·5
 1970 04 337·4
 1970 03 9037·4
 1970 02 8338.2
 1970 01 4938.0
 1969 12  6739·3
 1969 11  739·5
 1969 10  2539.2
 1969 09  9937·8
 1969 08  7238.1
 1969 07  3338·1
 1969 06  1737·9
 1969 05  3535.3
 1969 04  1736·4
 1969 03  136·1
 1969 02  2335.5
 1969 01  4935·5
 1968 12 2935·1
 1968 11 6835·6
 1968 10 2935·8
 1968 09 6336.3
 1968 08 5836·3
 1968 07 1435.8
 1968 06 4936.2
 1968 05 2035·9
 1968 04 7935·8
 1968 03 4836·6
 1968 02 2036.5
 1968 01 8836.4
 1967 12  9236·3
 1967 11  035.7
 1967 10  735.7
 1967 09  6235·6
 1967 08  2335·7
 1967 07  2636.0
 1967 06  9535.9
 1967 05  6235·2
 1967 04  2236.6
 1967 03  1036·0
 1967 02  9936.2
 1967 01  3136·6
 1966 12 6638.0
 1966 11 5737.4
 1966 10 5736·1
 1966 09 3935.4
 1966 08 5336·6
 1966 07 9935.8
 1966 06 3035.2
 1966 05 7934·4
 1966 04 934·1
 1966 03 9233.8
 1966 02 734·1
 1966 01 7134.7
 1965 12  8635·3
 1965 11  1934·3
 1965 10  234·4
 1965 09  5933.2
 1965 08  5832·0
 1965 07  8532.2
 1965 06  5130·8
 1965 05  1231.5
 1965 04  2530·7
 1965 03  2330.3
 1965 02  1828·7
 1965 01  2428.9
 1964 12 1330·1
 1964 11 9031.3
 1964 10 9030·2
 1964 09 1531.5
 1964 08 7330.4
 1964 07 6530.7
 1964 06 8130.7
 1964 05 2830·6
 1964 04 8030.1
 1964 03 5831.8
 1964 02 2932.7
 1964 01 3231.2
 1963 12  3430·6
 1963 11  9830·0
 1963 10  9531.6
 1963 09  2331·4
 1963 08  6031·3
 1963 07  4431·0
 1963 06  6930.9
 1963 05  1832.4
 1963 04  1032.0
 1963 03  7531·4
 1963 02  6332·1
 1963 01  6332.4
 1962 12 5731·9
 1962 11 032.3
 1962 10 1532.6
 1962 09 2532·8
 1962 08 434.4
 1962 07 4933.9
 1962 06 8736·2
 1962 05 034.0
 1962 04 7533.0
 1962 03 7932.9
 1962 02 6932·1
 1962 01 732.0
 1961 12  2032·8
 1961 11  7334·1
 1961 10  7233.0
 1961 09  8932.5
 1961 08  1533.3
 1961 07  3632.5
 1961 06  3433.6
 1961 05  1631.9
 1961 04  6034·0
 1961 03  034·4
 1961 02  1933·0
 1961 01  8132.9
 1960 12 8232·3
 1960 11 2232·8
 1960 10 1433·2
 1960 09 533.5
 1960 08 2932.6
 1960 07 8434.7
 1960 06 3337·4
 1960 05 3135·5
 1960 04 7834·4
 1960 03 9133.8
 1960 02 1234.0
 1960 01 2833·0
 1959 12  2833·3
 1959 11  7732·5
 1959 10  1532·5
 1959 09  9133·0
 1959 08  633.0
 1959 07  9632.6
 1959 06  3032·6
 1959 05  3832.1
 1959 04  6233·6
 1959 03  3232·9
 1959 02  7033.7
 1959 01  1434.3
 1958 12 7133.8
 1958 11 9133·1
 1958 10 7333.7
 1958 09 8833·2
 1958 08 3333.1
 1958 07 431.0
 1958 06 133·4
 1958 05 5435.7
 1958 04 7433·4
 1958 03 2734·2
 1958 02 4234·4
 1958 01 3133.3
 1957 12  4435·3
 1957 11  4436·2
 1957 10  1037.1
 1957 09  6437·6
 1957 08  1935·5
 1957 07  6036·3
 1957 06  4236.5
 1957 05  2136·4
 1957 04  9936.7
 1957 03  637·8
 1957 02  137·3
 1957 01  9637·6
 1956 12 939·4
 1956 11 4037.7
 1956 10 7537·2
 1956 09 937·3
 1956 08 038·1
 1956 07 4438·5
 1956 06 7738.0
 1956 05 437.2
 1956 04 4736·7
 1956 03 2335·0
 1956 02 4535.8
 1956 01 5036·4
 1955 12  5139·9
 1955 11  937.9
 1955 10  4136.9
 1955 09  4236.6
 1955 08  3736·9
 1955 07  6035.8
 1955 06  5433·9
 1955 05  9734.1
 1955 04  5533.5
 1955 03  5632·8
 1955 02  9631·9
 1955 01  6133.5
 1954 12 8131.5
 1954 11 534·0
 1954 10 634·9
 1954 09 234.9
 1954 08 1533.7
 1954 07 3833·0
 1954 06 4533.8
 1954 05 1634·3
 1954 04 8236.7
 1954 03 1138.6
 1954 02 336·1
 1954 01 2035.9
 1953 12  3333.9
 1953 11  734·9
 1953 10  9235.1
 1953 09  5938.4
 1953 08  4438·6
 1953 07  3137.8
 1953 06  5040.1
 1953 05  238.3
 1953 04  1538.9
 1953 03  1741.2
 1953 02  3940.5
 1953 01  4338·4
 1952 12 7039.8
 1952 11 1938·8
 1952 10 4836.6
 1952 09 237.6
 1952 08 6137·4
 1952 07 2038.6
 1952 06 9041·1
 1952 05 2339·5
 1952 04 6339·9
 1952 03 2738.4
 1952 02 239.0
 1952 01 7438·6
 1951 12  7638.9
 1951 11  7138.1
 1951 10  4839.4
 1951 09  5038·3
 1951 08  2639·7
 1951 07  939.8
 1951 06  1538.2
 1951 05  6939·5
 1951 04  6338·3
 1951 03  2240·0
 1951 02  1538.1
 1951 01  7838·6
 1950 12 6237·2
 1950 11 1738.2
 1950 10 8838·3
 1950 09 4336.6
 1950 08 2436.6
 1950 07 2635·0
 1950 06 9635·4
 1950 05 5936.1
 1950 04 7436·3
 1950 03 533.8
 1950 02 2635.4
 1950 01 4736·1
 1949 12  6337.0
 1949 11  3737·4
 1949 10  9237.7
 1949 09  4937.6
 1949 08  6637.0
 1949 07  2634·3
 1949 06  3234·7
 1949 05  3437·8
 1949 04  8437.5
 1949 03  741.7
 1949 02  839·4
 1949 01  9838.7
 1948 12 4140·3
 1948 11 3437·6
 1948 10 937·0
 1948 09 5938·0
 1948 08 8837.6
 1948 07 8937.8
 1948 06 4739.3
 1948 05 6137.2
 1948 04 138·8
 1948 03 8040.0
 1948 02 6039.5
 1948 01 7340.0
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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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      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: 16-19 years, Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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