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 Series Title: Labor Force Participation Rate: White Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1157.2
 2012 03 6057.4
 2012 02 5557.5
 2012 01 8257·3
 2011 12  4857·5
 2011 11  6357.8
 2011 10  4058.2
 2011 09  2058·1
 2011 08  2758·1
 2011 07  4058.3
 2011 06  058.2
 2011 05  3258·0
 2011 04  9758.1
 2011 03  7358.2
 2011 02  5057.9
 2011 01  6158.0
 2010 12 3558.1
 2010 11 6758·3
 2010 10 2558.5
 2010 09 7858·6
 2010 08 4058.6
 2010 07 5458.7
 2010 06 9158.7
 2010 05 7558·4
 2010 04 3858.6
 2010 03 9158·6
 2010 02 3458.7
 2010 01 7358·7
 2009 12  7958.4
 2009 11  6158.9
 2009 10  6758.9
 2009 09  1558.8
 2009 08  3959·2
 2009 07  6859.5
 2009 06  2959·6
 2009 05  7159·0
 2009 04  1859·1
 2009 03  4559·2
 2009 02  8259.3
 2009 01  3459·0
 2008 12 4159·2
 2008 11 4959.4
 2008 10 1359.6
 2008 09 2459·2
 2008 08 6059.3
 2008 07 6159·4
 2008 06 3759.5
 2008 05 8559.0
 2008 04 4858·7
 2008 03 8958·8
 2008 02 9058·8
 2008 01 8659·0
 2007 12  759.3
 2007 11  6259·5
 2007 10  3759.2
 2007 09  2159.3
 2007 08  6258.9
 2007 07  3959·3
 2007 06  6459.1
 2007 05  1058.6
 2007 04  6458.4
 2007 03  058·9
 2007 02  8458·9
 2007 01  9659·0
 2006 12 8859·3
 2006 11 5359·4
 2006 10 3559.3
 2006 09 4959.0
 2006 08 3359.2
 2006 07 2959·6
 2006 06 8159·3
 2006 05 6258.7
 2006 04 2658·7
 2006 03 8558·5
 2006 02 958·8
 2006 01 5658.7
 2005 12  1859.0
 2005 11  259.2
 2005 10  3359.2
 2005 09  7359.1
 2005 08  8259·0
 2005 07  8759.2
 2005 06  8958·8
 2005 05  8458.8
 2005 04  2058.7
 2005 03  7258·4
 2005 02  4158·8
 2005 01  8258·6
 2004 12 5858·8
 2004 11 1358·9
 2004 10 7658·8
 2004 09 8658.7
 2004 08 4558.7
 2004 07 9259·0
 2004 06 959.2
 2004 05 4258·9
 2004 04 5758.7
 2004 03 1659·0
 2004 02 7559·0
 2004 01 1658·7
 2003 12  9458.7
 2003 11  1558.9
 2003 10  3959.1
 2003 09  558·6
 2003 08  8259·0
 2003 07  4859.2
 2003 06  8959·6
 2003 05  2759.2
 2003 04  7159.2
 2003 03  9559·5
 2003 02  3659.4
 2003 01  2659.3
 2002 12 3759.0
 2002 11 6359·1
 2002 10 2059·4
 2002 09 7159.2
 2002 08 7959·3
 2002 07 8459·4
 2002 06 359.5
 2002 05 5759.2
 2002 04 2459.3
 2002 03 1559.6
 2002 02 7259·7
 2002 01 259·2
 2001 12  2259.4
 2001 11  3659.4
 2001 10  4159.3
 2001 09  5159·1
 2001 08  4758.9
 2001 07  5559.4
 2001 06  4859·4
 2001 05  7359.1
 2001 04  159.2
 2001 03  360·0
 2001 02  5659·8
 2001 01  6259.6
 2000 12 959.7
 2000 11 3859·4
 2000 10 5159·4
 2000 09 3859·2
 2000 08 2159·1
 2000 07 4059·5
 2000 06 4959.7
 2000 05 4359·4
 2000 04 1259.7
 2000 03 1659.8
 2000 02 8559·6
 2000 01 4859.5
 1999 12  8459·8
 1999 11  9859·7
 1999 10  2359·6
 1999 09  4659.2
 1999 08  6159·4
 1999 07  4359.7
 1999 06  5159·9
 1999 05  5859·4
 1999 04  9459.2
 1999 03  3259·6
 1999 02  8359.6
 1999 01  2659·4
 1998 12 5859·6
 1998 11 7159·5
 1998 10 5559·6
 1998 09 2059.6
 1998 08 5359·5
 1998 07 9359·5
 1998 06 3059.6
 1998 05 3459.3
 1998 04 659·0
 1998 03 5459.5
 1998 02 9759·4
 1998 01 8859·2
 1997 12  6659.7
 1997 11  3659·7
 1997 10  6959.7
 1997 09  2559.7
 1997 08  959.7
 1997 07  4660·1
 1997 06  8359.9
 1997 05  1459.4
 1997 04  3459·1
 1997 03  1459.5
 1997 02  259.2
 1997 01  5059.0
 1996 12 6959·5
 1996 11 9859·8
 1996 10 1459.5
 1996 09 5259.3
 1996 08 6259.2
 1996 07 7959·6
 1996 06 3259·2
 1996 05 6458.9
 1996 04 8958.5
 1996 03 6458·9
 1996 02 9458.7
 1996 01 5658·3
 1995 12  5258.7
 1995 11  8559.2
 1995 10  6359·3
 1995 09  2059.1
 1995 08  7459.2
 1995 07  9859·7
 1995 06  2659·1
 1995 05  7758.7
 1995 04  758·7
 1995 03  8558·7
 1995 02  9758.6
 1995 01  7158·5
 1994 12 2558.9
 1994 11 5259.3
 1994 10 1459.2
 1994 09 7059.0
 1994 08 3059.2
 1994 07 3259.4
 1994 06 3859·2
 1994 05 6958.9
 1994 04 4758.4
 1994 03 8058.5
 1994 02 5958·7
 1994 01 8758.2
 1993 12  2658.3
 1993 11  7958·4
 1993 10  9058·3
 1993 09  6857·9
 1993 08  4258.3
 1993 07  3558.7
 1993 06  6758·6
 1993 05  8157·9
 1993 04  9557·2
 1993 03  7957.3
 1993 02  5457.3
 1993 01  2157.3
 1992 12 1357·7
 1992 11 6957·8
 1992 10 3857.6
 1992 09 657.5
 1992 08 4358·0
 1992 07 8658·6
 1992 06 3458·3
 1992 05 8157·5
 1992 04 6357.5
 1992 03 3657·6
 1992 02 7857.4
 1992 01 1557.2
 1991 12  7257.4
 1991 11  5257.5
 1991 10  3357.7
 1991 09  157.2
 1991 08  9657.4
 1991 07  8957·9
 1991 06  8858·1
 1991 05  6057.3
 1991 04  8557.4
 1991 03  3057·0
 1991 02  5557·1
 1991 01  3556·8
 1990 12 1457·2
 1990 11 8257.2
 1990 10 7357·6
 1990 09 9657.5
 1990 08 8557.7
 1990 07 7558.1
 1990 06 358.0
 1990 05 3657.5
 1990 04 2257·2
 1990 03 6657·1
 1990 02 3457.0
 1990 01 7456·9
 1989 12  7557·3
 1989 11  3857.7
 1989 10  7957·5
 1989 09  5657.2
 1989 08  2157·4
 1989 07  9757.6
 1989 06  7557.5
 1989 05  4957.0
 1989 04  5956.8
 1989 03  7356·5
 1989 02  8756.4
 1989 01  4956·8
 1988 12 1656.8
 1988 11 2557.2
 1988 10 057·0
 1988 09 7356.6
 1988 08 4056.7
 1988 07 3456.6
 1988 06 2956·7
 1988 05 6855·9
 1988 04 856·0
 1988 03 655·7
 1988 02 1255·9
 1988 01 055.6
 1987 12  2055.9
 1987 11  7356.2
 1987 10  1056.3
 1987 09  6555.8
 1987 08  256.1
 1987 07  9156.2
 1987 06  1255.9
 1987 05  8255.7
 1987 04  355·1
 1987 03  4355.1
 1987 02  3254·8
 1987 01  9554·7
 1986 12 055.1
 1986 11 3455·5
 1986 10 655·9
 1986 09 7355·3
 1986 08 9355.6
 1986 07 9755.8
 1986 06 9855·6
 1986 05 1054·6
 1986 04 654·3
 1986 03 8854.4
 1986 02 9554.1
 1986 01 2654·0
 1985 12  9154.5
 1985 11  8954·7
 1985 10  1154·8
 1985 09  6454.4
 1985 08  2254.1
 1985 07  754·3
 1985 06  8454·0
 1985 05  9453.7
 1985 04  153.6
 1985 03  7254.0
 1985 02  7553.6
 1985 01  953.4
 1984 12 5353.5
 1984 11 4253·6
 1984 10 7453·8
 1984 09 3053·3
 1984 08 2753.4
 1984 07 9954·0
 1984 06 9353.7
 1984 05 9953.5
 1984 04 052·9
 1984 03 4952·8
 1984 02 7052.6
 1984 01 8752·3
 1983 12  7153·0
 1983 11  2353·4
 1983 10  6853.3
 1983 09  8753·3
 1983 08  6753·2
 1983 07  7853.0
 1983 06  7453.0
 1983 05  1851.9
 1983 04  3751·9
 1983 03  9751.9
 1983 02  251·9
 1983 01  2552·2
 1982 12 5752·7
 1982 11 8553·1
 1982 10 8952.9
 1982 09 7752.8
 1982 08 2852·8
 1982 07 7453.0
 1982 06 9952·7
 1982 05 6852·3
 1982 04 7451.9
 1982 03 2151·9
 1982 02 1951.7
 1982 01 1651.4
 1981 12  4651.8
 1981 11  752·5
 1981 10  6352.5
 1981 09  6751.6
 1981 08  2052.0
 1981 07  4052·1
 1981 06  6752.0
 1981 05  9052·0
 1981 04  9651.7
 1981 03  5051·6
 1981 02  9551·4
 1981 01  7751.2
 1980 12 9951.4
 1980 11 9551.8
 1980 10 3651.7
 1980 09 5051·3
 1980 08 8051.1
 1980 07 5651·2
 1980 06 051·2
 1980 05 5150.8
 1980 04 1350·8
 1980 03 4050.8
 1980 02 2850.9
 1980 01 5050.9
 1979 12  051·5
 1979 11  7751·4
 1979 10  8151·4
 1979 09  4150·9
 1979 08  6650.6
 1979 07  2650·5
 1979 06  4850.4
 1979 05  4349·8
 1979 04  6249.8
 1979 03  6850·3
 1979 02  4050·0
 1979 01  049.8
 1978 12 6150.5
 1978 11 850.5
 1978 10 9750.5
 1978 09 8249.9
 1978 08 6649·4
 1978 07 8049·7
 1978 06 8149·7
 1978 05 8248·9
 1978 04 148.8
 1978 03 3948.6
 1978 02 8048·3
 1978 01 2148.3
 1977 12  1748·7
 1977 11  6749·1
 1977 10  748·8
 1977 09  4148.4
 1977 08  9048.1
 1977 07  7148.0
 1977 06  048·4
 1977 05  1247.6
 1977 04  1847.5
 1977 03  8347.7
 1977 02  2147.3
 1977 01  2846·9
 1976 12 2947·6
 1976 11 5947.7
 1976 10 5947·6
 1976 09 847.1
 1976 08 7247.2
 1976 07 8047.3
 1976 06 2647·1
 1976 05 9746.3
 1976 04 2346·2
 1976 03 5446.3
 1976 02 6146.2
 1976 01 6446.1
 1975 12  8246·4
 1975 11  1246·4
 1975 10  2646.7
 1975 09  246·0
 1975 08  7546·0
 1975 07  1046.1
 1975 06  846.0
 1975 05  3145·5
 1975 04  5145.4
 1975 03  3145·5
 1975 02  2245·3
 1975 01  9545.6
 1974 12 8745.8
 1974 11 8045·9
 1974 10 545.9
 1974 09 6345.5
 1974 08 8245·1
 1974 07 9145.7
 1974 06 1945.3
 1974 05 3044·6
 1974 04 6344·5
 1974 03 1844·8
 1974 02 5444.6
 1974 01 1344·2
 1973 12  7945·0
 1973 11  4445.3
 1973 10  2045.0
 1973 09  5944·4
 1973 08  644·0
 1973 07  7644·1
 1973 06  5744·5
 1973 05  3543·8
 1973 04  4443·7
 1973 03  4543.5
 1973 02  2843.4
 1973 01  3642.8
 1972 12 1943·7
 1972 11 843.7
 1972 10 2043.9
 1972 09 8143.3
 1972 08 8043·3
 1972 07 4643.3
 1972 06 4543·2
 1972 05 1442·9
 1972 04 542·9
 1972 03 6643·0
 1972 02 4342.8
 1972 01 442.7
 1971 12  9243·6
 1971 11  043·7
 1971 10  7643·2
 1971 09  4642·6
 1971 08  6742.4
 1971 07  442.2
 1971 06  3142·2
 1971 05  5841.9
 1971 04  8142.0
 1971 03  6042.3
 1971 02  2342·6
 1971 01  8542·6
 1970 12 943.1
 1970 11 7543.4
 1970 10 8743·3
 1970 09 9642·4
 1970 08 5142·4
 1970 07 8042.7
 1970 06 8842·4
 1970 05 8441·8
 1970 04 3342.4
 1970 03 3242·4
 1970 02 1442.4
 1970 01 7042.0
 1969 12  542.8
 1969 11  1342.7
 1969 10  7742·7
 1969 09  9741.9
 1969 08  4341.8
 1969 07  2942·0
 1969 06  1542.3
 1969 05  3541.2
 1969 04  4741·3
 1969 03  1141·3
 1969 02  9141·3
 1969 01  7640·5
 1968 12 4241·3
 1968 11 1741·6
 1968 10 9241·0
 1968 09 4240.6
 1968 08 7940·3
 1968 07 2940·8
 1968 06 3341.3
 1968 05 7540·5
 1968 04 3340·1
 1968 03 5240·3
 1968 02 5040·4
 1968 01 4639.6
 1967 12  441.2
 1967 11  1841.1
 1967 10  741·0
 1967 09  4740·3
 1967 08  1840.2
 1967 07  8440.2
 1967 06  9240·3
 1967 05  9939·3
 1967 04  2639·5
 1967 03  3239.2
 1967 02  1639·6
 1967 01  4539.3
 1966 12 240·4
 1966 11 6840·6
 1966 10 1940·0
 1966 09 5439.2
 1966 08 4839·3
 1966 07 2539·2
 1966 06 6339.6
 1966 05 2239·1
 1966 04 8838.4
 1966 03 5838.2
 1966 02 3738.1
 1966 01 6638·0
 1965 12  7239·0
 1965 11  4938·9
 1965 10  5238.7
 1965 09  3037·8
 1965 08  7738·1
 1965 07  538.4
 1965 06  4738·9
 1965 05  8538·1
 1965 04  337·8
 1965 03  5737·6
 1965 02  8437·5
 1965 01  2537·0
 1964 12 7437·8
 1964 11 6337·6
 1964 10 5237.7
 1964 09 6737·1
 1964 08 4337.3
 1964 07 337·3
 1964 06 6438.2
 1964 05 5738.2
 1964 04 8238.0
 1964 03 8537·5
 1964 02 5737·2
 1964 01 6436·5
 1963 12  9437.3
 1963 11  4037.7
 1963 10  9537.8
 1963 09  8137.0
 1963 08  436.8
 1963 07  2537.3
 1963 06  6437·7
 1963 05  2937·6
 1963 04  6237·2
 1963 03  2136·9
 1963 02  7936·6
 1963 01  5036.0
 1962 12 4336.7
 1962 11 3537.1
 1962 10 7637.2
 1962 09 1437.1
 1962 08 4737.0
 1962 07 9836·7
 1962 06 1937·2
 1962 05 1636.9
 1962 04 136·5
 1962 03 6836.5
 1962 02 9736.1
 1962 01 7535.9
 1961 12  5536·4
 1961 11  2637·1
 1961 10  2037.1
 1961 09  3436.4
 1961 08  8336·7
 1961 07  7937.1
 1961 06  2838.0
 1961 05  6337·2
 1961 04  8736.9
 1961 03  5737·4
 1961 02  8436.6
 1961 01  5536.1
 1960 12 9137·0
 1960 11 1937.3
 1960 10 7537·0
 1960 09 3137.0
 1960 08 4736·6
 1960 07 4537·0
 1960 06 1437.5
 1960 05 3437·0
 1960 04 2936.3
 1960 03 4235·5
 1960 02 3935·3
 1960 01 3334·9
 1959 12  3736·2
 1959 11  4236.3
 1959 10  1336.9
 1959 09  2335·9
 1959 08  9935·8
 1959 07  136·1
 1959 06  2436·4
 1959 05  2236.1
 1959 04  6235.8
 1959 03  135·6
 1959 02  8435·0
 1959 01  7535·1
 1958 12 436.0
 1958 11 4936·0
 1958 10 3336·3
 1958 09 5135.8
 1958 08 2535·9
 1958 07 7735·9
 1958 06 3136.2
 1958 05 4436.3
 1958 04 4935·7
 1958 03 4035.5
 1958 02 6935·2
 1958 01 7334.9
 1957 12  2736·3
 1957 11  2136.4
 1957 10  5736·7
 1957 09  8236.0
 1957 08  3535.4
 1957 07  2636.3
 1957 06  3535·8
 1957 05  4135.5
 1957 04  7335·1
 1957 03  8735·2
 1957 02  6435·1
 1957 01  4334·8
 1956 12 6736.0
 1956 11 6036·4
 1956 10 3436.6
 1956 09 836·2
 1956 08 6635.8
 1956 07 2836·2
 1956 06 5736·2
 1956 05 8036.1
 1956 04 4635.2
 1956 03 9734.6
 1956 02 7034.4
 1956 01 2834.7
 1955 12  835·8
 1955 11  9835.8
 1955 10  3736·0
 1955 09  4735·3
 1955 08  7735·3
 1955 07  8834.9
 1955 06  4634.3
 1955 05  5434·0
 1955 04  433·9
 1955 03  4933·0
 1955 02  933.1
 1955 01  9533.1
 1954 12 6333.3
 1954 11 8734·1
 1954 10 6434·0
 1954 09 3833·7
 1954 08 5533·1
 1954 07 3432.9
 1954 06 7433.0
 1954 05 7933·3
 1954 04 633.3
 1954 03 4733.5
 1954 02 2833·2
 1954 01 3532·1
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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: Labor Force Participation Rate: White Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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