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 Series Title: Employment-Population Ratio: White Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1353·2
 2012 03 4553.4
 2012 02 2053·4
 2012 01 4653·4
 2011 12  5753·5
 2011 11  8753.5
 2011 10  7453.7
 2011 09  8553.6
 2011 08  6753·6
 2011 07  2753.6
 2011 06  2853.6
 2011 05  2253·8
 2011 04  9453.9
 2011 03  4754·0
 2011 02  9753·6
 2011 01  153·8
 2010 12 1353·7
 2010 11 5453·7
 2010 10 1753.7
 2010 09 9354·0
 2010 08 2554·0
 2010 07 7953.9
 2010 06 5154.0
 2010 05 9154·0
 2010 04 5554.1
 2010 03 7954·2
 2010 02 8854.2
 2010 01 1454·5
 2009 12  5254.0
 2009 11  3654·2
 2009 10  4154.1
 2009 09  754·1
 2009 08  9454.6
 2009 07  5754·7
 2009 06  4754.9
 2009 05  3855.0
 2009 04  8055.2
 2009 03  7255.2
 2009 02  6855.5
 2009 01  255.5
 2008 12 3555·6
 2008 11 3955.9
 2008 10 9456.2
 2008 09 1756.2
 2008 08 1056·2
 2008 07 3956·3
 2008 06 3756·5
 2008 05 2856·5
 2008 04 8056.4
 2008 03 7956·5
 2008 02 3556·5
 2008 01 556.7
 2007 12  4656·6
 2007 11  9056.8
 2007 10  5056.6
 2007 09  4056·8
 2007 08  3256·5
 2007 07  3056.6
 2007 06  7156.6
 2007 05  5456·6
 2007 04  9156·3
 2007 03  7956·9
 2007 02  1156·8
 2007 01  9156·8
 2006 12 9656.9
 2006 11 4556.8
 2006 10 656·8
 2006 09 1956.5
 2006 08 4856·8
 2006 07 5956·9
 2006 06 2156·7
 2006 05 3356.6
 2006 04 7356.5
 2006 03 7856·4
 2006 02 4456.4
 2006 01 5256.4
 2005 12  2156·4
 2005 11  8356·4
 2005 10  8656·4
 2005 09  2056·5
 2005 08  6756·5
 2005 07  8156·4
 2005 06  8656·1
 2005 05  656·3
 2005 04  1256·3
 2005 03  456.1
 2005 02  756.2
 2005 01  456.2
 2004 12 8156.2
 2004 11 756·1
 2004 10 3756·1
 2004 09 3456.0
 2004 08 2556·1
 2004 07 7456·1
 2004 06 8856.2
 2004 05 3956·4
 2004 04 1856.1
 2004 03 1156·1
 2004 02 9956·1
 2004 01 9055·9
 2003 12  6255·9
 2003 11  4856.1
 2003 10  3356·1
 2003 09  7955·8
 2003 08  8256.2
 2003 07  4456·3
 2003 06  7656.5
 2003 05  2656·3
 2003 04  2856·6
 2003 03  7956.6
 2003 02  4356.5
 2003 01  7556.6
 2002 12 7556.2
 2002 11 6056.3
 2002 10 7156.4
 2002 09 9656.5
 2002 08 2456·5
 2002 07 1956.4
 2002 06 2356.4
 2002 05 8256.4
 2002 04 056·5
 2002 03 1256.7
 2002 02 8656·7
 2002 01 5356.3
 2001 12  5456·5
 2001 11  2156·7
 2001 10  7556·6
 2001 09  5256.7
 2001 08  6256.6
 2001 07  5356·9
 2001 06  2656·9
 2001 05  5057.0
 2001 04  2257·1
 2001 03  3957.6
 2001 02  257.5
 2001 01  3957.6
 2000 12 6157·6
 2000 11 3757.3
 2000 10 9257·3
 2000 09 4057.3
 2000 08 3056.9
 2000 07 2757·3
 2000 06 857.4
 2000 05 9657.3
 2000 04 357·9
 2000 03 1657.5
 2000 02 8957.4
 2000 01 7657·6
 1999 12  8257.7
 1999 11  3657·5
 1999 10  9657·4
 1999 09  7557.2
 1999 08  9057·3
 1999 07  4357·2
 1999 06  1857.3
 1999 05  1157.3
 1999 04  8057.1
 1999 03  2057.2
 1999 02  6957·3
 1999 01  3057·2
 1998 12 2557.3
 1998 11 7357·1
 1998 10 8557·2
 1998 09 9957.4
 1998 08 2857·1
 1998 07 3357·0
 1998 06 3057.0
 1998 05 1457·2
 1998 04 1257·0
 1998 03 5757.1
 1998 02 9157·1
 1998 01 9357·0
 1997 12  2857.3
 1997 11  2657.2
 1997 10  8257.2
 1997 09  8057.1
 1997 08  5357.1
 1997 07  4957.2
 1997 06  4057.2
 1997 05  4557.0
 1997 04  8557·0
 1997 03  5556·9
 1997 02  2856·7
 1997 01  8256·6
 1996 12 5156·7
 1996 11 256·8
 1996 10 3456·7
 1996 09 956.7
 1996 08 156.4
 1996 07 7156·4
 1996 06 7156.2
 1996 05 7256.1
 1996 04 1056·1
 1996 03 6956·2
 1996 02 7756.1
 1996 01 3855·7
 1995 12  7955.9
 1995 11  2856.1
 1995 10  1556·2
 1995 09  356.2
 1995 08  3356.3
 1995 07  356.3
 1995 06  7355·9
 1995 05  8656·0
 1995 04  2256·2
 1995 03  7856·0
 1995 02  6356.1
 1995 01  2956.1
 1994 12 2356·2
 1994 11 5856.2
 1994 10 2456·1
 1994 09 456.0
 1994 08 3455.9
 1994 07 7655·7
 1994 06 1855.6
 1994 05 356.1
 1994 04 8255·6
 1994 03 8755.5
 1994 02 3355.7
 1994 01 4755.4
 1993 12  1855.2
 1993 11  7355.0
 1993 10  8254·8
 1993 09  7854.7
 1993 08  1554·9
 1993 07  4254·7
 1993 06  354.7
 1993 05  6754.6
 1993 04  7654.3
 1993 03  2454.3
 1993 02  5954.2
 1993 01  754.2
 1992 12 2554·2
 1992 11 7754.3
 1992 10 3854.1
 1992 09 1854·0
 1992 08 1254.2
 1992 07 8254·2
 1992 06 5354.1
 1992 05 4354·2
 1992 04 1354.4
 1992 03 4554.3
 1992 02 4154.2
 1992 01 5254·3
 1991 12  2954·0
 1991 11  9954.2
 1991 10  6654·3
 1991 09  3954.2
 1991 08  8554·0
 1991 07  9954.0
 1991 06  1554·2
 1991 05  2454.0
 1991 04  3054·5
 1991 03  2854.2
 1991 02  154·4
 1991 01  4954·2
 1990 12 4154.4
 1990 11 9254·4
 1990 10 6254.6
 1990 09 8554·8
 1990 08 1954.9
 1990 07 2354·8
 1990 06 6254·8
 1990 05 2554·9
 1990 04 8754·7
 1990 03 7854·8
 1990 02 8754·7
 1990 01 8954.8
 1989 12  9754.7
 1989 11  3754·9
 1989 10  5154.6
 1989 09  2154.7
 1989 08  2554·6
 1989 07  954·4
 1989 06  9254.4
 1989 05  9054.5
 1989 04  7054·5
 1989 03  2454·4
 1989 02  7254.5
 1989 01  9054.6
 1988 12 5754·3
 1988 11 3854.3
 1988 10 8054.1
 1988 09 4053.9
 1988 08 3853·8
 1988 07 3553·5
 1988 06 2853.7
 1988 05 8453·5
 1988 04 8853·7
 1988 03 2053·5
 1988 02 5453.4
 1988 01 9253.3
 1987 12  753·2
 1987 11  2453.0
 1987 10  2253·1
 1987 09  5852.9
 1987 08  2053·1
 1987 07  652.9
 1987 06  1952·8
 1987 05  052·9
 1987 04  7852·6
 1987 03  4552.4
 1987 02  5752.2
 1987 01  6452·1
 1986 12 5752.1
 1986 11 4952·0
 1986 10 7552·1
 1986 09 1752.0
 1986 08 5652·1
 1986 07 5052.0
 1986 06 3651.8
 1986 05 5551·4
 1986 04 151.3
 1986 03 451.2
 1986 02 2851.0
 1986 01 9651.2
 1985 12  4251·2
 1985 11  9351.1
 1985 10  6351.0
 1985 09  8450·9
 1985 08  5650.5
 1985 07  2450.4
 1985 06  8050·2
 1985 05  8950·4
 1985 04  4150·5
 1985 03  2750.8
 1985 02  4150·7
 1985 01  550.3
 1984 12 2450·2
 1984 11 6050.0
 1984 10 3449.8
 1984 09 5149.7
 1984 08 5549.6
 1984 07 550·1
 1984 06 7150.0
 1984 05 7050·2
 1984 04 1049·7
 1984 03 6749.5
 1984 02 9249·5
 1984 01 3449.2
 1983 12  8849·4
 1983 11  7949·3
 1983 10  5949.1
 1983 09  3449·1
 1983 08  1548.9
 1983 07  9848·5
 1983 06  6048·2
 1983 05  9147.9
 1983 04  4248·0
 1983 03  447.9
 1983 02  747.8
 1983 01  4848.0
 1982 12 4447·8
 1982 11 547·9
 1982 10 3847.9
 1982 09 7548.2
 1982 08 2148·3
 1982 07 3248·3
 1982 06 1748·3
 1982 05 6648.3
 1982 04 9948.1
 1982 03 4248·1
 1982 02 3248·0
 1982 01 4148.0
 1981 12  2847.9
 1981 11  1648.2
 1981 10  9448.3
 1981 09  4247.8
 1981 08  8348.5
 1981 07  6248.4
 1981 06  4348·4
 1981 05  4048·7
 1981 04  6548.5
 1981 03  1048.4
 1981 02  4048·3
 1981 01  2848·0
 1980 12 047·8
 1980 11 1847·9
 1980 10 7447·8
 1980 09 2547·8
 1980 08 3747.5
 1980 07 6647·6
 1980 06 5847·6
 1980 05 7747·7
 1980 04 5347·9
 1980 03 6348.0
 1980 02 3048.0
 1980 01 5148·2
 1979 12  4648·1
 1979 11  3947·9
 1979 10  5247·8
 1979 09  4247·8
 1979 08  4447.4
 1979 07  5047.6
 1979 06  1347.3
 1979 05  7047·3
 1979 04  9647·2
 1979 03  8047·4
 1979 02  2547.4
 1979 01  7847·2
 1978 12 7747·1
 1978 11 3347.0
 1978 10 2647·1
 1978 09 3546·7
 1978 08 8946·3
 1978 07 4346.4
 1978 06 7946.5
 1978 05 3646·2
 1978 04 5646.1
 1978 03 6545.7
 1978 02 7245.6
 1978 01 9945·5
 1977 12  2845·2
 1977 11  8145.3
 1977 10  1844·9
 1977 09  7044·8
 1977 08  8244·6
 1977 07  9844·5
 1977 06  5544.5
 1977 05  1644·6
 1977 04  1844.3
 1977 03  4744·1
 1977 02  4643.9
 1977 01  3343.6
 1976 12 6043·7
 1976 11 8643.5
 1976 10 7843.3
 1976 09 3943·3
 1976 08 6043.3
 1976 07 9543·5
 1976 06 6443·3
 1976 05 7843.3
 1976 04 9242.9
 1976 03 8242·8
 1976 02 4342.7
 1976 01 2042·7
 1975 12  5842.3
 1975 11  7742·2
 1975 10  7742·2
 1975 09  5842·2
 1975 08  8242.1
 1975 07  3942·0
 1975 06  5441.8
 1975 05  1341.7
 1975 04  1541.7
 1975 03  4741·7
 1975 02  8641·6
 1975 01  2742.0
 1974 12 3342·1
 1974 11 1042·2
 1974 10 1342·4
 1974 09 7142.4
 1974 08 3542·5
 1974 07 5842.9
 1974 06 9742·4
 1974 05 3842.4
 1974 04 4742.5
 1974 03 4842·5
 1974 02 2542·3
 1974 01 4742.0
 1973 12  1942.2
 1973 11  6242·4
 1973 10  1142·2
 1973 09  4342·0
 1973 08  2841·8
 1973 07  741·8
 1973 06  9242.1
 1973 05  9441·8
 1973 04  7341.6
 1973 03  1441·4
 1973 02  3241·2
 1973 01  9640.8
 1972 12 7940·9
 1972 11 3940.8
 1972 10 1840.7
 1972 09 6640.7
 1972 08 9840.8
 1972 07 6640·6
 1972 06 6340·5
 1972 05 4940·7
 1972 04 340·6
 1972 03 9940.6
 1972 02 540.5
 1972 01 1540.5
 1971 12  9740.5
 1971 11  7040·3
 1971 10  740.0
 1971 09  5739·9
 1971 08  439·8
 1971 07  3839·5
 1971 06  5639.4
 1971 05  9539.7
 1971 04  7539·7
 1971 03  8239.7
 1971 02  6740·0
 1971 01  7240.3
 1970 12 8440.0
 1970 11 940.1
 1970 10 7540·3
 1970 09 5840·0
 1970 08 3340.3
 1970 07 5240·4
 1970 06 4640·1
 1970 05 4740·0
 1970 04 4740·6
 1970 03 6740·5
 1970 02 6540.5
 1970 01 5840·5
 1969 12  7640·5
 1969 11  3640·4
 1969 10  4740·4
 1969 09  3640·2
 1969 08  9540.2
 1969 07  6440.3
 1969 06  2940·3
 1969 05  4939·9
 1969 04  639.9
 1969 03  8539·7
 1969 02  7439.6
 1969 01  9139.2
 1968 12 3239.2
 1968 11 5439·3
 1968 10 7039.0
 1968 09 8239·1
 1968 08 2638.8
 1968 07 5339·0
 1968 06 3039.3
 1968 05 6639.2
 1968 04 6138·7
 1968 03 8938.8
 1968 02 9238.6
 1968 01 1138·3
 1967 12  3938.9
 1967 11  9338·7
 1967 10  1838·6
 1967 09  1338.6
 1967 08  8538·5
 1967 07  2238·3
 1967 06  9638.2
 1967 05  9038·0
 1967 04  5038.1
 1967 03  5837.7
 1967 02  4037·8
 1967 01  8737.8
 1966 12 838.3
 1966 11 738·5
 1966 10 8737·9
 1966 09 7237·9
 1966 08 6037·7
 1966 07 137.4
 1966 06 037·2
 1966 05 3937.2
 1966 04 3137.0
 1966 03 9736·8
 1966 02 6836.8
 1966 01 837·0
 1965 12  7236.9
 1965 11  7636.6
 1965 10  236.6
 1965 09  2436·2
 1965 08  5936·3
 1965 07  4536·6
 1965 06  4136.4
 1965 05  5436·1
 1965 04  9135·9
 1965 03  3535.8
 1965 02  4835.7
 1965 01  9435·7
 1964 12 9435·5
 1964 11 435·2
 1964 10 1035.3
 1964 09 6235·3
 1964 08 1935.5
 1964 07 3235·4
 1964 06 4135·6
 1964 05 235.9
 1964 04 4135·9
 1964 03 2735.5
 1964 02 7835·4
 1964 01 8435.1
 1963 12  5935.0
 1963 11  2035.1
 1963 10  8535·3
 1963 09  235.0
 1963 08  134·8
 1963 07  6735·0
 1963 06  4834·9
 1963 05  7535.1
 1963 04  1535·2
 1963 03  5135·0
 1963 02  8234·9
 1963 01  4634·7
 1962 12 7734·7
 1962 11 7834.7
 1962 10 2434·7
 1962 09 8635·1
 1962 08 8935.0
 1962 07 8034·6
 1962 06 3634.8
 1962 05 8934·7
 1962 04 7434·7
 1962 03 1334.7
 1962 02 734·7
 1962 01 7234·6
 1961 12  8434·3
 1961 11  5834.5
 1961 10  5034·3
 1961 09  8234·1
 1961 08  9434·4
 1961 07  2434.3
 1961 06  234.8
 1961 05  8634.5
 1961 04  534.6
 1961 03  4035.0
 1961 02  2734.7
 1961 01  7934·7
 1960 12 4134·6
 1960 11 6534.8
 1960 10 1234·3
 1960 09 8035·1
 1960 08 5334·7
 1960 07 7834·9
 1960 06 7035·0
 1960 05 3334.9
 1960 04 1734·7
 1960 03 8833.8
 1960 02 3934·2
 1960 01 833·9
 1959 12  3234·2
 1959 11  2633.9
 1959 10  8334·3
 1959 09  9834.0
 1959 08  2534.1
 1959 07  4834.1
 1959 06  8834·2
 1959 05  2334.0
 1959 04  4534.0
 1959 03  3733·9
 1959 02  6733·7
 1959 01  2634·0
 1958 12 6933·8
 1958 11 9733·6
 1958 10 6033.4
 1958 09 7733.5
 1958 08 9633·6
 1958 07 6333·4
 1958 06 2833.5
 1958 05 7133·7
 1958 04 5233·6
 1958 03 8933.8
 1958 02 5933·7
 1958 01 2533.7
 1957 12  8734·3
 1957 11  5834·2
 1957 10  6734.3
 1957 09  8534·3
 1957 08  7634·0
 1957 07  7634·6
 1957 06  8834·1
 1957 05  1933.8
 1957 04  2134.0
 1957 03  7534·3
 1957 02  8734·4
 1957 01  2234·0
 1956 12 4634.2
 1956 11 1134·3
 1956 10 5134.4
 1956 09 1234·5
 1956 08 234.4
 1956 07 6734·3
 1956 06 9334·4
 1956 05 3534·3
 1956 04 6433.9
 1956 03 4833·6
 1956 02 5033·7
 1956 01 5834.0
 1955 12  3334.0
 1955 11  8733·7
 1955 10  8733·6
 1955 09  7733·4
 1955 08  3333·9
 1955 07  4033·4
 1955 06  8932·7
 1955 05  932·4
 1955 04  1632.7
 1955 03  8932·1
 1955 02  7132·2
 1955 01  132·1
 1954 12 5731.5
 1954 11 4031·9
 1954 10 7131·5
 1954 09 2031.5
 1954 08 5631.3
 1954 07 2530.9
 1954 06 5031.1
 1954 05 6031·3
 1954 04 3831·5
 1954 03 132·1
 1954 02 9831.9
 1954 01 4130.9
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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

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: White 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

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