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 Series Title: Employment-Population Ratio: Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 953.0
 2012 03 5053.1
 2012 02 6153.2
 2012 01 7452.9
 2011 12  4953.0
 2011 11  4453·1
 2011 10  2353.2
 2011 09  7753.2
 2011 08  8053·1
 2011 07  6153·1
 2011 06  1053.0
 2011 05  353·3
 2011 04  5253.3
 2011 03  8353.4
 2011 02  3753.3
 2011 01  9853.3
 2010 12 4253.3
 2010 11 1753.3
 2010 10 4053.3
 2010 09 2953.5
 2010 08 5053.5
 2010 07 9453.5
 2010 06 8353.6
 2010 05 9153.7
 2010 04 053.7
 2010 03 7153·7
 2010 02 5353·9
 2010 01 453.9
 2009 12  4353.5
 2009 11  3053·8
 2009 10  6453.7
 2009 09  1153·9
 2009 08  5654.2
 2009 07  7854.5
 2009 06  5354·5
 2009 05  8154·7
 2009 04  3754·9
 2009 03  4555.0
 2009 02  8355.2
 2009 01  1055·3
 2008 12 1355·6
 2008 11 8955·8
 2008 10 4256.0
 2008 09 1456.1
 2008 08 3356·1
 2008 07 9156.3
 2008 06 4356.4
 2008 05 4056.5
 2008 04 7456.6
 2008 03 5756.5
 2008 02 2456·5
 2008 01 5656.7
 2007 12  3656.5
 2007 11  2156·6
 2007 10  4856·5
 2007 09  5656·8
 2007 08  4356·5
 2007 07  3756·6
 2007 06  256.7
 2007 05  6056·6
 2007 04  4756·3
 2007 03  8956·9
 2007 02  9956·8
 2007 01  1156.8
 2006 12 2356.9
 2006 11 8256·8
 2006 10 7856.8
 2006 09 7856.5
 2006 08 7156·8
 2006 07 4856·8
 2006 06 256.7
 2006 05 5756·6
 2006 04 1756·4
 2006 03 4356.4
 2006 02 5756·4
 2006 01 6556·3
 2005 12  1056.3
 2005 11  5056·3
 2005 10  5856·4
 2005 09  4756.4
 2005 08  2756.4
 2005 07  7556·2
 2005 06  4156·1
 2005 05  7356·2
 2005 04  6856·2
 2005 03  5056.0
 2005 02  7056.0
 2005 01  3656·1
 2004 12 5856·1
 2004 11 3156.0
 2004 10 3355·9
 2004 09 5555.9
 2004 08 4756.0
 2004 07 9956·0
 2004 06 4356·0
 2004 05 7556.1
 2004 04 1156·0
 2004 03 6355·9
 2004 02 3756·0
 2004 01 6555·7
 2003 12  5155·7
 2003 11  5256·0
 2003 10  7955.9
 2003 09  1855·7
 2003 08  9156.0
 2003 07  2556·1
 2003 06  5556.4
 2003 05  5556·3
 2003 04  8356.3
 2003 03  6256.3
 2003 02  8056·2
 2003 01  1956.5
 2002 12 156·2
 2002 11 7056.2
 2002 10 9156·3
 2002 09 7956·4
 2002 08 4556·3
 2002 07 8056·1
 2002 06 5156·2
 2002 05 2956·1
 2002 04 4256.2
 2002 03 5156.4
 2002 02 4856·6
 2002 01 9056·2
 2001 12  4256.3
 2001 11  6256.6
 2001 10  9556·6
 2001 09  456.7
 2001 08  2056·6
 2001 07  2157·0
 2001 06  2957·0
 2001 05  4057.2
 2001 04  7657·2
 2001 03  5957·7
 2001 02  1457.5
 2001 01  9457.6
 2000 12 3657.6
 2000 11 3357.5
 2000 10 3757·4
 2000 09 8457.4
 2000 08 5157·1
 2000 07 2557.3
 2000 06 1157·5
 2000 05 5457·5
 2000 04 9558·0
 2000 03 4157·5
 2000 02 7557·5
 2000 01 7457·6
 1999 12  6957.6
 1999 11  1357.6
 1999 10  9057.6
 1999 09  3857·4
 1999 08  9857·5
 1999 07  9857·4
 1999 06  4657·4
 1999 05  6457·5
 1999 04  3357.3
 1999 03  7657·3
 1999 02  5557·3
 1999 01  9757·4
 1998 12 5057.4
 1998 11 5657·1
 1998 10 5457·1
 1998 09 657·3
 1998 08 4857.1
 1998 07 6857·0
 1998 06 757·0
 1998 05 8557·1
 1998 04 5257·0
 1998 03 6957.1
 1998 02 157·0
 1998 01 5357.0
 1997 12  1557.2
 1997 11  4157.0
 1997 10  5057·0
 1997 09  5557.0
 1997 08  1057·0
 1997 07  9057.0
 1997 06  9156.8
 1997 05  5956·7
 1997 04  3856.7
 1997 03  4856·6
 1997 02  8856·3
 1997 01  6056·4
 1996 12 2456·4
 1996 11 7256.5
 1996 10 2756.4
 1996 09 7756.4
 1996 08 2056·2
 1996 07 4356·1
 1996 06 2355.9
 1996 05 5455.8
 1996 04 055·9
 1996 03 6855·8
 1996 02 1255·7
 1996 01 6055·5
 1995 12  6455·6
 1995 11  7855.9
 1995 10  5855.8
 1995 09  8955·6
 1995 08  3955.7
 1995 07  3155·6
 1995 06  4955.3
 1995 05  6155·6
 1995 04  7455.7
 1995 03  855.6
 1995 02  9755.6
 1995 01  2055.5
 1994 12 4555·5
 1994 11 1555.6
 1994 10 4155·5
 1994 09 3455·4
 1994 08 5355·3
 1994 07 8455.2
 1994 06 4355·1
 1994 05 9755.4
 1994 04 2155.1
 1994 03 7354·9
 1994 02 9155.1
 1994 01 3054.9
 1993 12  254·6
 1993 11  6154·4
 1993 10  9954.3
 1993 09  7654·2
 1993 08  7154.3
 1993 07  5754.1
 1993 06  354.1
 1993 05  454.1
 1993 04  2753.8
 1993 03  9153·9
 1993 02  6853·7
 1993 01  953.7
 1992 12 9753·7
 1992 11 2153·7
 1992 10 8053·6
 1992 09 953·7
 1992 08 3053·8
 1992 07 2753.8
 1992 06 5353.7
 1992 05 4953.8
 1992 04 253·9
 1992 03 1753·8
 1992 02 2453·7
 1992 01 9753·8
 1991 12  1353·5
 1991 11  2353·6
 1991 10  5753·7
 1991 09  4953·7
 1991 08  8953.5
 1991 07  053.6
 1991 06  3953.7
 1991 05  2353·6
 1991 04  8154.1
 1991 03  3153·7
 1991 02  8353.8
 1991 01  6353·8
 1990 12 6353·9
 1990 11 2254.0
 1990 10 2854.2
 1990 09 3854.2
 1990 08 3554.4
 1990 07 554.3
 1990 06 3654·4
 1990 05 4354·6
 1990 04 2554.5
 1990 03 3754·6
 1990 02 9454·5
 1990 01 9654.6
 1989 12  8154·4
 1989 11  9854·7
 1989 10  1654.3
 1989 09  4254·5
 1989 08  7954.4
 1989 07  9754·2
 1989 06  4054·1
 1989 05  5154·2
 1989 04  1954·2
 1989 03  6354.2
 1989 02  2954·2
 1989 01  1554.4
 1988 12 2854.1
 1988 11 5554.1
 1988 10 7053.8
 1988 09 5453.5
 1988 08 5453·5
 1988 07 5453·3
 1988 06 7653.3
 1988 05 1352·9
 1988 04 7553·2
 1988 03 6553.2
 1988 02 8653.1
 1988 01 6153·1
 1987 12  8953.1
 1987 11  2252.9
 1987 10  6252.8
 1987 09  9152·6
 1987 08  2352.9
 1987 07  8052·7
 1987 06  9152·5
 1987 05  2352.6
 1987 04  2752·3
 1987 03  2252.1
 1987 02  8851·9
 1987 01  151.7
 1986 12 7651.7
 1986 11 5351·7
 1986 10 9051.8
 1986 09 9351·7
 1986 08 7151.7
 1986 07 651·6
 1986 06 5951.5
 1986 05 9551·2
 1986 04 3751.0
 1986 03 3751·0
 1986 02 8450·8
 1986 01 2650·9
 1985 12  2450·9
 1985 11  2850.8
 1985 10  7750.7
 1985 09  2950.6
 1985 08  850·2
 1985 07  8550.2
 1985 06  7750.1
 1985 05  7350·2
 1985 04  8950.4
 1985 03  4050.5
 1985 02  4650.3
 1985 01  5450·1
 1984 12 9349·9
 1984 11 5049·7
 1984 10 7249.6
 1984 09 8949.6
 1984 08 7049.5
 1984 07 9749·8
 1984 06 6849·7
 1984 05 2349·9
 1984 04 9549·3
 1984 03 8649·0
 1984 02 7249·0
 1984 01 2648·7
 1983 12  6948·8
 1983 11  5048.7
 1983 10  4748.5
 1983 09  9048·7
 1983 08  1748.4
 1983 07  4648·0
 1983 06  8147·7
 1983 05  3747·5
 1983 04  8947.6
 1983 03  5447·5
 1983 02  8647.5
 1983 01  947·5
 1982 12 6247·5
 1982 11 8247.5
 1982 10 147·5
 1982 09 7547·8
 1982 08 3547.8
 1982 07 6147.8
 1982 06 8847·8
 1982 05 3147.8
 1982 04 3347·6
 1982 03 4847·7
 1982 02 3647.7
 1982 01 9447.7
 1981 12  847·6
 1981 11  2447·9
 1981 10  5647.9
 1981 09  1047·5
 1981 08  3448.1
 1981 07  9648·1
 1981 06  8848·1
 1981 05  4748·4
 1981 04  1248.3
 1981 03  9748·1
 1981 02  9448·0
 1981 01  047.8
 1980 12 6747·6
 1980 11 8147·7
 1980 10 6147·6
 1980 09 8747·6
 1980 08 5047.5
 1980 07 3247.5
 1980 06 447.5
 1980 05 5347.6
 1980 04 3647·7
 1980 03 5547·8
 1980 02 5847.9
 1980 01 6748·0
 1979 12  2648·0
 1979 11  8347·9
 1979 10  8947·7
 1979 09  2247.6
 1979 08  4447·3
 1979 07  7247.5
 1979 06  8347.2
 1979 05  3947·2
 1979 04  4247·1
 1979 03  347·5
 1979 02  5347·3
 1979 01  6247·1
 1978 12 9447.1
 1978 11 8447.0
 1978 10 3747·0
 1978 09 5846·7
 1978 08 146·4
 1978 07 4546·3
 1978 06 9846·5
 1978 05 2446·3
 1978 04 8846·2
 1978 03 4445·8
 1978 02 2545.7
 1978 01 7745·5
 1977 12  745.3
 1977 11  6245.1
 1977 10  2944·8
 1977 09  6144.8
 1977 08  3144.6
 1977 07  644·4
 1977 06  4944.4
 1977 05  4744.6
 1977 04  6344.2
 1977 03  744·0
 1977 02  4843.8
 1977 01  2843.6
 1976 12 2643.6
 1976 11 2343·6
 1976 10 1343.2
 1976 09 2443.2
 1976 08 7143.3
 1976 07 3443·5
 1976 06 5743·3
 1976 05 7843.4
 1976 04 7443·1
 1976 03 4843·0
 1976 02 1942·8
 1976 01 5942.7
 1975 12  3642·4
 1975 11  9542·2
 1975 10  6142.3
 1975 09  6242·2
 1975 08  8042.2
 1975 07  3442.1
 1975 06  7241·9
 1975 05  641·9
 1975 04  5941.8
 1975 03  4441.7
 1975 02  6341·7
 1975 01  3542·0
 1974 12 4742.1
 1974 11 3442.3
 1974 10 7342.6
 1974 09 1842.7
 1974 08 4542.8
 1974 07 3443·0
 1974 06 6542.7
 1974 05 4942.6
 1974 04 7842.7
 1974 03 142.7
 1974 02 2642·6
 1974 01 4842·3
 1973 12  9642.5
 1973 11  1742.6
 1973 10  7042.4
 1973 09  5842·2
 1973 08  7642·1
 1973 07  8942.1
 1973 06  3542.3
 1973 05  4942.1
 1973 04  1641·9
 1973 03  4841.7
 1973 02  8341.6
 1973 01  1541.0
 1972 12 4341·3
 1972 11 5041.1
 1972 10 240·9
 1972 09 7440·9
 1972 08 741.0
 1972 07 7840.9
 1972 06 540·9
 1972 05 7241.0
 1972 04 8440·9
 1972 03 3841·0
 1972 02 3040·8
 1972 01 7740.8
 1971 12  7340·8
 1971 11  6240.7
 1971 10  4040·5
 1971 09  8440·4
 1971 08  140·3
 1971 07  640·0
 1971 06  2339·9
 1971 05  1140.2
 1971 04  1740.2
 1971 03  5240·2
 1971 02  9140·4
 1971 01  340·6
 1970 12 9740.4
 1970 11 740.5
 1970 10 8340·7
 1970 09 2840·5
 1970 08 4240.8
 1970 07 240.9
 1970 06 6240.7
 1970 05 8240.6
 1970 04 7641·2
 1970 03 9441·0
 1970 02 1541.0
 1970 01 8241·1
 1969 12  5141.2
 1969 11  6441·0
 1969 10  5541·1
 1969 09  7440·8
 1969 08  4140·9
 1969 07  2040.9
 1969 06  2040.8
 1969 05  2740.4
 1969 04  4740·5
 1969 03  9240.4
 1969 02  7340·3
 1969 01  3339·9
 1968 12 9539.9
 1968 11 3839.9
 1968 10 339·7
 1968 09 1439.8
 1968 08 3439·5
 1968 07 3939.7
 1968 06 2139.9
 1968 05 1240·0
 1968 04 4039·4
 1968 03 239.5
 1968 02 6539·3
 1968 01 9738·9
 1967 12  1439.7
 1967 11  5839.4
 1967 10  9939.3
 1967 09  6339.2
 1967 08  8139.2
 1967 07  6439.0
 1967 06  1138·9
 1967 05  3038.7
 1967 04  9138·9
 1967 03  238.4
 1967 02  1338.6
 1967 01  4138·6
 1966 12 1939·0
 1966 11 7839·2
 1966 10 4438·8
 1966 09 6538·7
 1966 08 6738.5
 1966 07 2438.2
 1966 06 6538·1
 1966 05 9737·9
 1966 04 5937·9
 1966 03 9737.7
 1966 02 6637.7
 1966 01 5637·8
 1965 12  4637·8
 1965 11  7837.5
 1965 10  5837·5
 1965 09  8637·2
 1965 08  337.3
 1965 07  7437·4
 1965 06  8037·2
 1965 05  5636.9
 1965 04  3136·7
 1965 03  1636.6
 1965 02  9536·4
 1965 01  6036.4
 1964 12 5536.4
 1964 11 6136·3
 1964 10 9136.2
 1964 09 1736·2
 1964 08 2636·4
 1964 07 9236·2
 1964 06 8036.5
 1964 05 7236·6
 1964 04 1836.7
 1964 03 1336·2
 1964 02 036·3
 1964 01 9335·9
 1963 12  3235.9
 1963 11  5836·0
 1963 10  1536·0
 1963 09  7635.8
 1963 08  9435.6
 1963 07  8335·8
 1963 06  1235·7
 1963 05  3835.9
 1963 04  5436.0
 1963 03  6935.8
 1963 02  435.7
 1963 01  2435.6
 1962 12 8835·4
 1962 11 2235·5
 1962 10 2835.6
 1962 09 335·9
 1962 08 9535.8
 1962 07 7635·4
 1962 06 4935.6
 1962 05 7035·5
 1962 04 135.5
 1962 03 8635.5
 1962 02 5435.6
 1962 01 4335.4
 1961 12  5735·1
 1961 11  3335·3
 1961 10  5535·3
 1961 09  6734·9
 1961 08  3735.3
 1961 07  2635.2
 1961 06  9035.6
 1961 05  1135·2
 1961 04  4335·3
 1961 03  9435·8
 1961 02  2335.6
 1961 01  6835.5
 1960 12 035·6
 1960 11 9635·7
 1960 10 4135·3
 1960 09 5936·1
 1960 08 5835·7
 1960 07 1135.8
 1960 06 5736·2
 1960 05 2735·8
 1960 04 9235·7
 1960 03 4834.5
 1960 02 1035·1
 1960 01 4134.9
 1959 12  335.1
 1959 11  3834.9
 1959 10  6135·1
 1959 09  9534.9
 1959 08  1735.0
 1959 07  3735.0
 1959 06  035·2
 1959 05  935.0
 1959 04  8335.0
 1959 03  2734·8
 1959 02  3734·6
 1959 01  2734.8
 1958 12 7734·6
 1958 11 1534·6
 1958 10 1334.5
 1958 09 1834·4
 1958 08 034.6
 1958 07 3234·3
 1958 06 8934·5
 1958 05 7634.6
 1958 04 7734·5
 1958 03 3534·6
 1958 02 5434.6
 1958 01 1934·7
 1957 12  5735·3
 1957 11  635·0
 1957 10  2035.2
 1957 09  9435·2
 1957 08  1834·9
 1957 07  5135·4
 1957 06  2535.0
 1957 05  6734·9
 1957 04  5835.0
 1957 03  235·4
 1957 02  3235·4
 1957 01  3534.9
 1956 12 435.2
 1956 11 1535·1
 1956 10 2935.2
 1956 09 1535·4
 1956 08 535.2
 1956 07 7335·0
 1956 06 2935.1
 1956 05 5135.2
 1956 04 3834·9
 1956 03 8134.5
 1956 02 6934.8
 1956 01 1435.0
 1955 12  335.2
 1955 11  7234.7
 1955 10  1434.5
 1955 09  9734.4
 1955 08  2434·6
 1955 07  234·2
 1955 06  5033·5
 1955 05  2033.3
 1955 04  5233·6
 1955 03  5332.8
 1955 02  9032·8
 1955 01  2532·9
 1954 12 6432·3
 1954 11 3132·7
 1954 10 7232.8
 1954 09 8332.7
 1954 08 5832.1
 1954 07 6831·9
 1954 06 6032·2
 1954 05 8832.4
 1954 04 6132.7
 1954 03 2132·9
 1954 02 4133.0
 1954 01 5931·9
 1953 12  2331.9
 1953 11  7132.6
 1953 10  2833·1
 1953 09  4033.1
 1953 08  2033·2
 1953 07  2433·6
 1953 06  5933·7
 1953 05  033.1
 1953 04  5133.6
 1953 03  1434.1
 1953 02  9633·9
 1953 01  3334.1
 1952 12 4233·8
 1952 11 9634.2
 1952 10 2933.3
 1952 09 5934·2
 1952 08 4333.1
 1952 07 5133·1
 1952 06 6833.4
 1952 05 2133.3
 1952 04 3133·1
 1952 03 8732·9
 1952 02 5333·5
 1952 01 8933·7
 1951 12  433·6
 1951 11  3633.1
 1951 10  4733.2
 1951 09  5732·9
 1951 08  9033·3
 1951 07  5333·8
 1951 06  3732.7
 1951 05  4433·2
 1951 04  3732·9
 1951 03  2033·3
 1951 02  3632·6
 1951 01  9332.7
 1950 12 2232.4
 1950 11 4532·6
 1950 10 8132.6
 1950 09 7532·0
 1950 08 4532.5
 1950 07 5831.8
 1950 06 3732.1
 1950 05 8431·6
 1950 04 3032·1
 1950 03 1631.0
 1950 02 9131.1
 1950 01 3831.1
 1949 12  3031.3
 1949 11  231·6
 1949 10  5531.3
 1949 09  8231·1
 1949 08  1831.2
 1949 07  2131·1
 1949 06  6830.7
 1949 05  8431.1
 1949 04  9631·0
 1949 03  531·5
 1949 02  9231·5
 1949 01  4031·2
 1948 12 8931.6
 1948 11 1231·3
 1948 10 1631·1
 1948 09 6731·7
 1948 08 4731·3
 1948 07 2232.0
 1948 06 5131.9
 1948 05 1130·9
 1948 04 4531.6
 1948 03 4230.7
 1948 02 3731.0
 1948 01 4030.9
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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: Employment-Population Ratio: Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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