Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Employment-Population Ratio: 16-24 years, Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 1948 01 5542·8
 1948 02 1942·4
 1948 03 7541.7
 1948 04 3742.0
 1948 05 4441.0
 1948 06 3942·2
 1948 07 6540·6
 1948 08 9440.6
 1948 09 8140.9
 1948 10 3940.0
 1948 11 3640·2
 1948 12 3141·0
 1949 01  1639·6
 1949 02  9940·7
 1949 03  342.6
 1949 04  9239.4
 1949 05  2540.2
 1949 06  2838·8
 1949 07  339·6
 1949 08  4739·9
 1949 09  739.6
 1949 10  5740.0
 1949 11  9940·0
 1949 12  8839.9
 1950 01 8839.7
 1950 02 4239·7
 1950 03 7838·8
 1950 04 3740·2
 1950 05 1939.3
 1950 06 6438·7
 1950 07 5437·9
 1950 08 3640·5
 1950 09 7440·8
 1950 10 3242.1
 1950 11 6541.6
 1950 12 5441·8
 1951 01  5542·4
 1951 02  7541·8
 1951 03  7342.9
 1951 04  8741·8
 1951 05  8742·9
 1951 06  5142.1
 1951 07  6643·0
 1951 08  5242.1
 1951 09  2041.0
 1951 10  4241·8
 1951 11  5741·4
 1951 12  9542·7
 1952 01 2941·9
 1952 02 5441.1
 1952 03 8540.5
 1952 04 8441·4
 1952 05 1640·8
 1952 06 1942.0
 1952 07 1140·4
 1952 08 1340·5
 1952 09 441.3
 1952 10 9340·0
 1952 11 2441·4
 1952 12 340·7
 1953 01  4541·3
 1953 02  5842·6
 1953 03  3742.3
 1953 04  9541.7
 1953 05  1541.5
 1953 06  2141·4
 1953 07  8840·8
 1953 08  6140·3
 1953 09  1240.5
 1953 10  1338·9
 1953 11  3938.0
 1953 12  9437·0
 1954 01 6437·6
 1954 02 9138.5
 1954 03 7840.6
 1954 04 1339.0
 1954 05 1938.4
 1954 06 3738·3
 1954 07 1937·8
 1954 08 6238·4
 1954 09 5539.3
 1954 10 5739·4
 1954 11 9939·0
 1954 12 1137.7
 1955 01  7038·5
 1955 02  8337.9
 1955 03  8138·2
 1955 04  5338·7
 1955 05  9138.6
 1955 06  7138.3
 1955 07  5339.7
 1955 08  840.1
 1955 09  6839·9
 1955 10  440.4
 1955 11  2841·7
 1955 12  2042.5
 1956 01 7539.7
 1956 02 8740.2
 1956 03 4439·3
 1956 04 5840.3
 1956 05 1540·5
 1956 06 5340.9
 1956 07 6340.8
 1956 08 1641.0
 1956 09 1141·1
 1956 10 5841·1
 1956 11 7441·0
 1956 12 1341·5
 1957 01  1541·2
 1957 02  8440.6
 1957 03  8941.1
 1957 04  9440·3
 1957 05  140.0
 1957 06  3740·1
 1957 07  4740·7
 1957 08  2739·4
 1957 09  7140·2
 1957 10  4939.8
 1957 11  1039·5
 1957 12  739·5
 1958 01 4938.4
 1958 02 7638.6
 1958 03 6638.5
 1958 04 5337.9
 1958 05 8639·2
 1958 06 138.5
 1958 07 2837·5
 1958 08 938.3
 1958 09 5737.9
 1958 10 3038·3
 1958 11 3337.5
 1958 12 4337.4
 1959 01  6337·9
 1959 02  9537.4
 1959 03  4637·5
 1959 04  5237·7
 1959 05  2937·1
 1959 06  5237·1
 1959 07  5336.9
 1959 08  5237·4
 1959 09  537.5
 1959 10  8237.5
 1959 11  6837·3
 1959 12  9037·9
 1960 01 6837.3
 1960 02 9338·1
 1960 03 2837.8
 1960 04 3238.8
 1960 05 1739.4
 1960 06 1740.1
 1960 07 9738·8
 1960 08 7537.4
 1960 09 7738·2
 1960 10 937.7
 1960 11 6137.5
 1960 12 3737·4
 1961 01  9937·3
 1961 02  5138·4
 1961 03  3539.1
 1961 04  6237.9
 1961 05  5937·2
 1961 06  5037·9
 1961 07  5637.2
 1961 08  1938·2
 1961 09  5737·5
 1961 10  3937·7
 1961 11  8738.9
 1961 12  237·6
 1962 01 1837·4
 1962 02 7237·1
 1962 03 1537.0
 1962 04 3138·1
 1962 05 9238.6
 1962 06 3339·8
 1962 07 5538.6
 1962 08 5039.0
 1962 09 5538·3
 1962 10 2738·7
 1962 11 4238·3
 1962 12 2838·1
 1963 01  838·4
 1963 02  8638·4
 1963 03  4238·0
 1963 04  5837.9
 1963 05  7637.8
 1963 06  6837.1
 1963 07  4037·4
 1963 08  6137.2
 1963 09  937.4
 1963 10  5337.3
 1963 11  5136·7
 1963 12  7937·2
 1964 01 8237·8
 1964 02 4838.8
 1964 03 1238·4
 1964 04 8438·3
 1964 05 9637.7
 1964 06 8437.5
 1964 07 8637·6
 1964 08 6738·3
 1964 09 7738.8
 1964 10 2038.1
 1964 11 6138·6
 1964 12 5037·9
 1965 01  7437.2
 1965 02  3537·2
 1965 03  4938.1
 1965 04  7538.4
 1965 05  6438·8
 1965 06  3738·6
 1965 07  9039.5
 1965 08  1239·4
 1965 09  4640.2
 1965 10  5840·7
 1965 11  4540.5
 1965 12  5541.2
 1966 01 4641·0
 1966 02 5440·9
 1966 03 240·6
 1966 04 2441·3
 1966 05 1441·8
 1966 06 642.0
 1966 07 7541.8
 1966 08 6242.2
 1966 09 2641.6
 1966 10 2242.2
 1966 11 143.1
 1966 12 3843.7
 1967 01  8242·5
 1967 02  3242·5
 1967 03  4342·6
 1967 04  4743.2
 1967 05  742.7
 1967 06  9443·0
 1967 07  8942.9
 1967 08  842.9
 1967 09  5242.7
 1967 10  9042·8
 1967 11  5243·9
 1967 12  6444.1
 1968 01 9343.4
 1968 02 2543·5
 1968 03 7043.7
 1968 04 8643.5
 1968 05 2943·8
 1968 06 3243.9
 1968 07 644·0
 1968 08 6744·0
 1968 09 8644.3
 1968 10 6743·9
 1968 11 4744·0
 1968 12 2643·7
 1969 01  1544.4
 1969 02  1144.8
 1969 03  745·3
 1969 04  845·3
 1969 05  9044.3
 1969 06  7346.3
 1969 07  2346.0
 1969 08  8246·1
 1969 09  1245.9
 1969 10  8246.5
 1969 11  5946·8
 1969 12  4146·7
 1970 01 846·5
 1970 02 9646.2
 1970 03 146.0
 1970 04 545·9
 1970 05 2645.7
 1970 06 9645.1
 1970 07 6445.6
 1970 08 1845.7
 1970 09 4245·8
 1970 10 9046.0
 1970 11 8444.8
 1970 12 4944·4
 1971 01  5844·9
 1971 02  744·6
 1971 03  2644.2
 1971 04  9344.3
 1971 05  9744·2
 1971 06  743.1
 1971 07  7644·8
 1971 08  6845·2
 1971 09  1145.2
 1971 10  6944.9
 1971 11  4744.9
 1971 12  1945·6
 1972 01 7545.7
 1972 02 145.8
 1972 03 7945.8
 1972 04 1546.3
 1972 05 8946·8
 1972 06 3446·2
 1972 07 3246·3
 1972 08 4946·7
 1972 09 7946.1
 1972 10 2446.6
 1972 11 9647.3
 1972 12 4247.5
 1973 01  9547.4
 1973 02  5548·1
 1973 03  8348.5
 1973 04  3648·5
 1973 05  1348·7
 1973 06  3149·5
 1973 07  3148·2
 1973 08  248·6
 1973 09  3249·0
 1973 10  8549·6
 1973 11  349.6
 1973 12  3449.5
 1974 01 7949·1
 1974 02 7449·9
 1974 03 8750.1
 1974 04 5049·8
 1974 05 349.4
 1974 06 7849.3
 1974 07 9649·4
 1974 08 9549.7
 1974 09 8149·9
 1974 10 650.0
 1974 11 6749.4
 1974 12 3749.0
 1975 01  1249·1
 1975 02  8748·2
 1975 03  6447.9
 1975 04  7248.1
 1975 05  2148·2
 1975 06  8048·2
 1975 07  7448·4
 1975 08  1848·4
 1975 09  6048.5
 1975 10  6548.1
 1975 11  1147·8
 1975 12  1948.5
 1976 01 448·8
 1976 02 4948·8
 1976 03 1249.3
 1976 04 4549.6
 1976 05 5250·5
 1976 06 6549.8
 1976 07 3950·9
 1976 08 8949.5
 1976 09 3149·3
 1976 10 6849.4
 1976 11 8249.7
 1976 12 7149·3
 1977 01  9149·5
 1977 02  4050·4
 1977 03  5350.7
 1977 04  3550·8
 1977 05  750·8
 1977 06  8751·7
 1977 07  8951·3
 1977 08  4952·1
 1977 09  8051·7
 1977 10  4351·5
 1977 11  5451.9
 1977 12  952·3
 1978 01 3452·4
 1978 02 6252·4
 1978 03 3652·3
 1978 04 3453.2
 1978 05 2153.9
 1978 06 2754·4
 1978 07 4753·9
 1978 08 6654·8
 1978 09 1654·4
 1978 10 4555.0
 1978 11 2554·2
 1978 12 7754·9
 1979 01  1854.9
 1979 02  4655·4
 1979 03  3455·8
 1979 04  5854·8
 1979 05  5554·7
 1979 06  8854·7
 1979 07  6054.9
 1979 08  3153·9
 1979 09  7554·4
 1979 10  5354.5
 1979 11  1854·9
 1979 12  3954.7
 1980 01 5454.6
 1980 02 4654·2
 1980 03 4453.8
 1980 04 5153·5
 1980 05 9353·4
 1980 06 053.4
 1980 07 353·8
 1980 08 6153·5
 1980 09 1853.9
 1980 10 7154·4
 1980 11 8054·0
 1980 12 8954·1
 1981 01  7754·1
 1981 02  4153·9
 1981 03  9153·7
 1981 04  7854·1
 1981 05  4853·9
 1981 06  1752.9
 1981 07  7253·2
 1981 08  9853·5
 1981 09  3052·6
 1981 10  3053·1
 1981 11  8652.6
 1981 12  4252.0
 1982 01 4951·9
 1982 02 3651.9
 1982 03 2152·2
 1982 04 3152·2
 1982 05 5452.4
 1982 06 1852.1
 1982 07 9151.8
 1982 08 851.8
 1982 09 2252.1
 1982 10 8251·7
 1982 11 3351.8
 1982 12 4251.7
 1983 01  5351·7
 1983 02  6051.6
 1983 03  951·5
 1983 04  2751·6
 1983 05  7251.2
 1983 06  851·7
 1983 07  852·5
 1983 08  8352·9
 1983 09  3052.8
 1983 10  852·5
 1983 11  4352.8
 1983 12  5453.3
 1984 01 153·6
 1984 02 6653.6
 1984 03 5253.2
 1984 04 853·8
 1984 05 8754.5
 1984 06 1555.1
 1984 07 9755.7
 1984 08 4153·9
 1984 09 1354·6
 1984 10 1154.9
 1984 11 6655.0
 1984 12 7055.1
 1985 01  2955·5
 1985 02  3555.8
 1985 03  7255·7
 1985 04  4155.5
 1985 05  1155.3
 1985 06  9554·3
 1985 07  5455.3
 1985 08  2254·9
 1985 09  5855.7
 1985 10  2155·8
 1985 11  7455.8
 1985 12  855.8
 1986 01 9755.3
 1986 02 7155·7
 1986 03 1956.4
 1986 04 1756.2
 1986 05 7756.0
 1986 06 2656.3
 1986 07 455.9
 1986 08 9556·1
 1986 09 7556·0
 1986 10 9256.1
 1986 11 6556·3
 1986 12 956.1
 1987 01  9056.3
 1987 02  256·4
 1987 03  6556·8
 1987 04  5456·8
 1987 05  4857.5
 1987 06  1356.6
 1987 07  9457.2
 1987 08  4958.0
 1987 09  056·7
 1987 10  457.0
 1987 11  6257.5
 1987 12  3957.7
 1988 01 2058·2
 1988 02 8458·2
 1988 03 956·9
 1988 04 9257.0
 1988 05 956·2
 1988 06 8458.2
 1988 07 9758.2
 1988 08 357·9
 1988 09 9357.9
 1988 10 6158·0
 1988 11 1457.3
 1988 12 9157·8
 1989 01  2157·6
 1989 02  9657.2
 1989 03  7257.4
 1989 04  057.8
 1989 05  7057.9
 1989 06  9658.0
 1989 07  1158.5
 1989 08  9858.9
 1989 09  3958·0
 1989 10  9257·3
 1989 11  9258·0
 1989 12  8156.6
 1990 01 5456·6
 1990 02 4156.5
 1990 03 456·8
 1990 04 6756·1
 1990 05 6656.5
 1990 06 2556.5
 1990 07 6056.4
 1990 08 156·2
 1990 09 5056·0
 1990 10 5155.6
 1990 11 9755.2
 1990 12 5255·1
 1991 01  655·2
 1991 02  5054.8
 1991 03  7854.6
 1991 04  1354·9
 1991 05  5953.7
 1991 06  7853.5
 1991 07  9153.0
 1991 08  453.1
 1991 09  6053·8
 1991 10  1853.7
 1991 11  4954.0
 1991 12  6953.4
 1992 01 8554.0
 1992 02 7654·3
 1992 03 9154.5
 1992 04 7753.8
 1992 05 3453.7
 1992 06 8352.9
 1992 07 7853·8
 1992 08 2354.1
 1992 09 3153.3
 1992 10 9752.8
 1992 11 9853.5
 1992 12 2553·8
 1993 01  2853·8
 1993 02  9854·0
 1993 03  6653·9
 1993 04  2854·1
 1993 05  054.5
 1993 06  9554.0
 1993 07  1854·9
 1993 08  054·4
 1993 09  4854·8
 1993 10  1754.4
 1993 11  1754.5
 1993 12  3754.7
 1994 01 9655·0
 1994 02 2255.3
 1994 03 5255·0
 1994 04 5655·3
 1994 05 9555·5
 1994 06 9256·0
 1994 07 3455.2
 1994 08 355.4
 1994 09 2154·6
 1994 10 3355·1
 1994 11 355.2
 1994 12 4655.7
 1995 01  7456.4
 1995 02  7655·3
 1995 03  2155·4
 1995 04  7955·5
 1995 05  7955·0
 1995 06  7955.4
 1995 07  7654·5
 1995 08  2255.2
 1995 09  8654.0
 1995 10  2354.8
 1995 11  8054·7
 1995 12  1954·6
 1996 01 7254.2
 1996 02 1554·6
 1996 03 7254·9
 1996 04 3955.3
 1996 05 3655·1
 1996 06 8654.9
 1996 07 1554·5
 1996 08 7554·9
 1996 09 456.1
 1996 10 9356·0
 1996 11 9556.1
 1996 12 4855.6
 1997 01  2655.5
 1997 02  1855·4
 1997 03  2856.0
 1997 04  155.7
 1997 05  7855·7
 1997 06  6755·5
 1997 07  4956·1
 1997 08  455.6
 1997 09  6056·0
 1997 10  7255·9
 1997 11  2356.4
 1997 12  5056·9
 1998 01 9757.5
 1998 02 8957·4
 1998 03 3657·2
 1998 04 5956.9
 1998 05 4057.5
 1998 06 056·8
 1998 07 256.8
 1998 08 7557·0
 1998 09 6457.8
 1998 10 1357·3
 1998 11 5956·7
 1998 12 6657.1
 1999 01  7056·8
 1999 02  5757·1
 1999 03  7057.3
 1999 04  2857·5
 1999 05  8257·3
 1999 06  9156.7
 1999 07  2257.2
 1999 08  7956.9
 1999 09  5256.4
 1999 10  9656·6
 1999 11  2956.6
 1999 12  6457.0
 2000 01 5557·5
 2000 02 7856·9
 2000 03 2856.5
 2000 04 5157.6
 2000 05 9156.8
 2000 06 6957.4
 2000 07 8256·8
 2000 08 3557·3
 2000 09 8658.2
 2000 10 2557·9
 2000 11 8057.8
 2000 12 3557·8
 2001 01  8957.6
 2001 02  2957·8
 2001 03  3357.7
 2001 04  9556.3
 2001 05  7756.1
 2001 06  8756·3
 2001 07  8055.7
 2001 08  8354.4
 2001 09  4955.1
 2001 10  3155.3
 2001 11  8455·9
 2001 12  9654·6
 2002 01 3253.7
 2002 02 1654.9
 2002 03 3355.1
 2002 04 5054·0
 2002 05 7454.4
 2002 06 2654·6
 2002 07 3954.2
 2002 08 9154·9
 2002 09 5354.5
 2002 10 6653·8
 2002 11 4053·7
 2002 12 8853.5
 2003 01  6853·1
 2003 02  6852·9
 2003 03  052.8
 2003 04  3552·8
 2003 05  4552.7
 2003 06  8952.7
 2003 07  752·6
 2003 08  5052.4
 2003 09  3452.1
 2003 10  1052·0
 2003 11  7252·1
 2003 12  7951·5
 2004 01 1052.0
 2004 02 3852.2
 2004 03 3451.9
 2004 04 9052·7
 2004 05 7452·7
 2004 06 651·8
 2004 07 5651.9
 2004 08 7752.3
 2004 09 5152·1
 2004 10 6852·4
 2004 11 2652·3
 2004 12 6052·5
 2005 01  9252·5
 2005 02  751.8
 2005 03  5752.5
 2005 04  8352·3
 2005 05  7252.3
 2005 06  3152.5
 2005 07  8652·8
 2005 08  1453·1
 2005 09  9153·3
 2005 10  6953·5
 2005 11  7752·8
 2005 12  4951.9
 2006 01 7551.9
 2006 02 7952·2
 2006 03 1752·0
 2006 04 552·3
 2006 05 7552·7
 2006 06 4352·4
 2006 07 1952·3
 2006 08 2852.6
 2006 09 6451·5
 2006 10 6751.9
 2006 11 2152·4
 2006 12 8652·9
 2007 01  4552.6
 2007 02  8352·8
 2007 03  8752·5
 2007 04  7451·4
 2007 05  4251·3
 2007 06  4752·1
 2007 07  351·5
 2007 08  1050·8
 2007 09  652·3
 2007 10  4151·4
 2007 11  8351.9
 2007 12  3951·2
 2008 01 1251·2
 2008 02 7250.4
 2008 03 6550.0
 2008 04 3051·1
 2008 05 6050·6
 2008 06 7250.5
 2008 07 1150.3
 2008 08 7750·1
 2008 09 7649.7
 2008 10 9650·1
 2008 11 1049·3
 2008 12 049·3
 2009 01  1148.7
 2009 02  2848.7
 2009 03  7448·6
 2009 04  4148.2
 2009 05  3947.5
 2009 06  7247·1
 2009 07  4147.1
 2009 08  7246·5
 2009 09  6245.8
 2009 10  6245.1
 2009 11  7545.4
 2009 12  8445·7
 2010 01 345·5
 2010 02 5345.4
 2010 03 6344·9
 2010 04 9945·1
 2010 05 1545·2
 2010 06 2744.9
 2010 07 1744.9
 2010 08 6045.6
 2010 09 7245.2
 2010 10 9144·8
 2010 11 7745·0
 2010 12 3544·4
 2011 01  7444·3
 2011 02  7744.5
 2011 03  445·1
 2011 04  2045·2
 2011 05  4844.7
 2011 06  4144.6
 2011 07  8644.4
 2011 08  3344·7
 2011 09  4345·2
 2011 10  6445·6
 2011 11  3745.4
 2011 12  1945·0
 2012 01 3544·9
 2012 02 5445·9


 2012 03 9545.3
 2012 04 4745·0
 2012 05 2445.5
 2012 06 4345·8
 2012 07 2245·4
 2012 08 1044.7
 2012 09 3545·7
 2012 10 8545.4
 2012 11 645.6
 2012 12 2845·5
 2013 01  2045.4
 2013 02  6545.2
 2013 03  6044·8
 2013 04  4545·7
 2013 05  5345·5
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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.
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: 16-24 years, Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Don't want to see advertisements? Click here to see how.

Sites of Interest: The Wall Street Examiner: Be prepared. Stay ahead of the herd * vestidos de novia * Cocktailkleider * Bestessayhelp.com - essay writing service. * Celebrity Dresses * Sell Rolex

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap